{"schemaVersion":1,"asOf":"2026-11-10T16:12:44.984Z","fields":"default","cursor":"ae1.eyJrIjoic3luYyIsImUiOiJYcU5VdW56NSIsInciOjM1MSwiZiI6ImRlZmF1bHQifQ","count":347,"hasMore":false,"nextPage":null,"items":[{"id":"a1y4pgtqj76d9lpuxlzfbdbpo","links":{"aihot":"https://robohot.news/en/items/a1y4pgtqj76d9lpuxlzfbdbpo","original":"https://www.limxdynamics.com/zh/news/BK000026"},"score":66,"title":"GVF-TAPE Algorithm from LimX Dynamics and Partners Accepted to CoRL 2025, Enabling Robots to Learn Manipulation from Video","reason":"This research presents a concrete technical approach and experimental figures for learning manipulation from human video, helping readers understand the feasibility of training robot manipulation with video data.","source":{"name":"LimX Dynamics"},"summary":"The paper \"Generative Visual Foresight Meets Task-Agnostic Pose Estimation in Robotic Table-top Manipulation,\" a collaboration between SUSTech CLEAR Lab, LimX Dynamics, and the University of Hong Kong, has been accepted to CoRL 2025.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/a1y4pgtqj76d9lpuxlzfbdbpo","name":"RoboHot"},"publishedAt":"2025-09-18T16:00:00.000Z","discoveredAt":"2026-10-12T11:50:41.021Z","originalTitle":null},{"id":"a4mlsjfrsje0hhoyz76porvcu","links":{"aihot":"https://robohot.news/en/items/a4mlsjfrsje0hhoyz76porvcu","original":"https://neura-robotics.com/neura-robotics-acquires-active-shuttle/"},"score":60,"title":"NEURA Robotics acquires Bosch Rexroth's ACTIVE Shuttle automated guided vehicle platform","reason":"The official disclosure covers the acquisition's effective date, the technologies being retained, and ecosystem integration plans, allowing readers to assess continuity for existing customers and the platform's direction.","source":{"name":"NEURA Robotics"},"summary":"NEURA Robotics announced that, effective October 1, 2026, it will acquire the ACTIVE Shuttle automated guided vehicle (AGV) from Bosch Rexroth, incorporating it into NEURA Mobile Robots GmbH along with its hardware, software, and customer service.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/a4mlsjfrsje0hhoyz76porvcu","name":"RoboHot"},"publishedAt":"2026-08-12T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:34.354Z","originalTitle":null},{"id":"a95c2ycawp4xlpwswv0eukq2e","links":{"aihot":"https://robohot.news/en/items/a95c2ycawp4xlpwswv0eukq2e","original":"https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2651071440&idx=1&sn=913d398a504d3e029db48cde218437a2&chksm=85ec25a4a8fcfd6b3fa392fa027f3352adef067a6bd1b3f9e02a76e84f645ecd6db140553995&scene=126&sessionid=1793546178#rd"},"score":78,"title":"Fysics AI and Fudan propose Fysiverse-UniWAM unified world-action model, ranks first in both navigation and mobile manipulation across 24 real-robot tests","reason":"Readers can see a unified world-action model approach that does not rely on large-scale robot pretraining, along with the specific design of a shared backbone for navigation and manipulation.","source":{"name":"机器之心 · 微信公众号"},"summary":"Fysics AI, together with Fudan University's CITLab, proposed the unified world-action model Fysiverse-UniWAM, which uses a single model to handle autonomous navigation, mobile manipulation, and fixed-workstation dexterous manipulation.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/a95c2ycawp4xlpwswv0eukq2e","name":"RoboHot"},"publishedAt":"2026-11-01T04:00:00.000Z","discoveredAt":"2026-11-01T15:15:44.039Z","originalTitle":null},{"id":"ab5yqa5rorhlc2bie50zz484u","links":{"aihot":"https://robohot.news/en/items/ab5yqa5rorhlc2bie50zz484u","original":"https://www.agile-robots.com/en/news/detail/a-gentle-introduction-to-agile-robots-and-idealworks-edge-ai-stack-for-maximum-compatibility/"},"score":61,"title":"Agile Robots and Idealworks detail edge AI inference stack, running VLMs on Jetson AGX Xavier with custom TensorRT plugins","reason":"Using their own Xavier deployment experience as an example, the authors present a reusable TensorRT plugin method for running VLMs on older hardware that peers can directly draw on.","source":{"name":"Agile Robots/思灵机器人"},"summary":"Agile Robots and its subsidiary Idealworks describe their edge AI deployment stack since 2018, covering five layers: hardware, BSP, inference pipeline, inference framework, and quantization.","category":"tip","selected":true,"attribution":{"url":"https://robohot.news/en/items/ab5yqa5rorhlc2bie50zz484u","name":"RoboHot"},"publishedAt":"2026-07-24T09:30:00.000Z","discoveredAt":"2026-10-12T09:50:39.156Z","originalTitle":null},{"id":"abj45m2nqaane682gvfo4f2r8","links":{"aihot":"https://robohot.news/en/items/abj45m2nqaane682gvfo4f2r8","original":"https://www.figure.ai/news/helix-02"},"score":82,"title":"Figure AI Releases Helix 02: A Full-Body Autonomous Control Model for Humanoid Robots","reason":"The original text provides details on Helix 02's architectural layers, training data, and demonstration tasks, allowing readers to understand the specific implementation approach for full-body autonomous control.","source":{"name":"Figure AI"},"summary":"Figure AI has released Helix 02, extending control from the upper body to the entire humanoid robot and enabling continuous, integrated autonomous tasks combining locomotion and manipulation. It adds a new System 0 whole-body controller, trained on over 1,000 hours of human motion data and simulation-based reinforcement learning, which outputs joint commands at 1 kHz via a 10M-parameter network, replacing roughly 109,504 lines of hand-written C++ code; System 1 connects head-mounted vision, palm cameras, fingertip touch sensing, and proprioception, outputting whole-body joint targets at 200 Hz.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/abj45m2nqaane682gvfo4f2r8","name":"RoboHot"},"publishedAt":"2026-01-27T00:00:00.000Z","discoveredAt":"2026-10-12T11:50:34.671Z","originalTitle":null},{"id":"adu27oy373e909xhb7zvt4ui1","links":{"aihot":"https://robohot.news/en/items/adu27oy373e909xhb7zvt4ui1","original":"https://x.com/sigrobotics/status/1996280736190439434"},"score":69,"title":"Earth Rover Mini+ low-cost open-source autonomous mobile robot released, with 7TB of real teleoperation data","reason":"The material gives a total unit cost of under $300 and 7TB of real street data, which lets readers judge how autonomous mobile robot experiments can move out of the lab.","source":{"name":"SIGRobotics · X"},"summary":"Earth Rover Mini+ has been released. It is an open-source autonomous mobile robot priced under $300, has actually driven in multiple cities, comes with over 7TB of real teleoperation data, and supports LeRobot integration.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/adu27oy373e909xhb7zvt4ui1","name":"RoboHot"},"publishedAt":"2025-12-03T18:09:51.000Z","discoveredAt":"2026-10-17T11:27:23.698Z","originalTitle":null},{"id":"ai2vqh36del586fsznrfs0qe4","links":{"aihot":"https://robohot.news/en/items/ai2vqh36del586fsznrfs0qe4","original":"https://mp.weixin.qq.com/s?__biz=Mzk0NDU5NjMwMA==&mid=2247495940&idx=1&sn=c49a54a458ca25dfbd5c2cf48c95e7cc&chksm=c2b67ee4deaca4b2b8fcfcdec69f085a41d5c32920e8c51ec07cc08e9e352e8be6536be2bc0f&scene=126&sessionid=1793985448#rd"},"score":80,"title":"NVIDIA releases VFlash visual planning decoding framework, robot action decoding up to 12x faster","reason":"NVIDIA's new decoding framework changes visual planning from token-by-token generation to parallel prediction, and provides speedup and success-rate comparisons across multiple robot and autonomous-driving benchmarks.","source":{"name":"机器人前瞻 · 微信公众号"},"summary":"NVIDIA has released VFlash, a general-purpose decoding framework for fast visual planning that replaces token-by-token coordinate generation with parallel decoding of complete visual primitives, allowing it to predict robot grasp positions and motion trajectories in one pass. At batch size 1 on H100, single-generation speed improved by about 25x; across four MolmoSpaces tasks, the world action model averaged a 70.2% success rate versus a 62.6% baseline. Jim Fan shared that it achieves up to 12x faster action decoding, 5.1x overall robot inference speedup, and up to 61% lower 3D trajectory error.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/ai2vqh36del586fsznrfs0qe4","name":"RoboHot"},"publishedAt":"2026-11-06T10:07:19.000Z","discoveredAt":"2026-11-06T17:17:27.872Z","originalTitle":null},{"id":"ajvq617dekh8k2kf19718kb5z","links":{"aihot":"https://robohot.news/en/items/ajvq617dekh8k2kf19718kb5z","original":"https://bostondynamics.com/blog/robot-hands-for-modern-ai-and-real-work/"},"score":67,"title":"Boston Dynamics unveils dexterous hand for next-gen Atlas robot: 13-DOF four-finger design","reason":"The original article details the degrees of freedom, actuation, and simulation design tradeoffs of the next-generation Atlas dexterous hand, letting readers understand how the hand design serves reinforcement learning and real-world work.","source":{"name":"Boston Dynamics"},"summary":"Boston Dynamics has unveiled a dexterous hand for its next-generation Atlas humanoid robot, increasing from GR2's 7 degrees of freedom to 13, using a four-finger design with a 4-DOF opposable thumb, direct drive, and only a single actuator type. The design drops the pinky finger to reduce cost and complexity, is equipped with fingertip and palm pressure tactile sensors, supports pinch grasping, three-finger grasping, and pressing tool triggers, and was optimized for high-fidelity simulation for sim-to-real transfer and reinforcement learning, with preliminary sim-to-real results on dynamic tasks already available.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/ajvq617dekh8k2kf19718kb5z","name":"RoboHot"},"publishedAt":"2026-10-01T13:10:02.000Z","discoveredAt":"2026-10-12T09:50:04.052Z","originalTitle":null},{"id":"amykv43ndmx109w80886q5p91","links":{"aihot":"https://robohot.news/en/items/amykv43ndmx109w80886q5p91","original":"https://www.dyna.co/news/robotics-bubble"},"score":65,"title":"Dyna Robotics reviews 10 months of production deployment, discusses robotics bubble and three paths","reason":"Based on the author's review of nearly ten months of real deployments, the piece points out differences between the pace of robotics commercialization and the LLM curve, offering a useful reference for judging an industry bubble.","source":{"name":"Dyna Robotics"},"summary":"Based on a review of nearly 10 months of real customer deployments, Dyna Robotics believes the timeline for converting robotics capabilities into commercial value is longer than current funding assumptions suggest, and that much of the market is a bubble. The article presents three judgments: hardware is not the same as a channel, pretraining data scale is not the same as downstream capability, and building deployment systems is underestimated. It says Dyna-1, released in April 2025, ran autonomously for more than 24 hours on tasks such as napkin folding with a success rate above 99%, but deployments did not self-accelerate, and no one in the industry has yet validated at scale that a second deployment is faster than the first.","category":"opinion","selected":true,"attribution":{"url":"https://robohot.news/en/items/amykv43ndmx109w80886q5p91","name":"RoboHot"},"publishedAt":"2026-05-20T00:00:00.000Z","discoveredAt":"2026-10-12T09:51:05.755Z","originalTitle":null},{"id":"an1jat12pvowr2we8ivj8r6w8","links":{"aihot":"https://robohot.news/en/items/an1jat12pvowr2we8ivj8r6w8","original":"https://beingbeyond.com/newsInfo/1218.html"},"score":64,"title":"BeingBeyond releases Being-H0.8, the first implicit world action model to introduce touch in pretraining","reason":"The model brings touch into large-scale pretraining along with a self-developed pseudo-labeling system, letting readers understand the path by which tactile data goes from a lab signal to a scalable pretraining resource.","source":{"name":"北京智在无界科技有限公司"},"summary":"BeingBeyond has released Being-H0.8, which it calls the world's first implicit tactile world action model, unifying vision, touch, action, and future state changes into a single latent space, with pretraining on more than 500,000 hours of first-person human video.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/an1jat12pvowr2we8ivj8r6w8","name":"RoboHot"},"publishedAt":"2026-07-27T16:00:00.000Z","discoveredAt":"2026-10-17T09:11:35.568Z","originalTitle":null},{"id":"apntzauzr9asd7j0j6h0yzdzi","links":{"aihot":"https://robohot.news/en/items/apntzauzr9asd7j0j6h0yzdzi","original":"https://www.agibot.com/article/231/detail/131.html"},"score":75,"title":"AGIBOT Unveils Worken Metrics Framework, AHA3 Hardware Platform, and G2 Max Industrial Robot at 2026 Innovation Day","reason":"AGIBOT announced its hardware platform, foundation model, operating system, and mass-production model all at once, giving readers a basis to judge its shift from manufacturing scale to measurable output.","source":{"name":"AgiBot"},"summary":"At its 2026 Innovation Day, AGIBOT proposed the Worken (effective intelligent working hours) framework, which measures robots' effective output in real environments using three metrics: number of active robots, autonomous working hours, and output efficiency ratio.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/apntzauzr9asd7j0j6h0yzdzi","name":"RoboHot"},"publishedAt":"2026-10-28T00:00:00.000Z","discoveredAt":"2026-10-29T08:07:19.228Z","originalTitle":null},{"id":"aq8052xdzj0qfaec67hrtw15y","links":{"aihot":"https://robohot.news/en/items/aq8052xdzj0qfaec67hrtw15y","original":"https://huggingface.co/papers/2610.42141"},"score":80,"title":"RoboArchitect: Automating the Design of Robotic Agents with Persistent Memory","reason":"It automatically evolves control code and persistent memory outside a frozen policy, offering a transferable approach to improving manipulation success without finetuning weights.","source":{"name":"HuggingFace Daily Papers"},"summary":"RoboArchitect lets a coding model observe robot rollouts, diagnose failures, and iteratively revise the agent harness around a frozen policy. Without updating any model weights, it raises average success from 9.7% to 43.3% (4.5x) on unseen scenes and from 12.7% to 40.2% (3.2x) on unseen tasks.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/aq8052xdzj0qfaec67hrtw15y","name":"RoboHot"},"publishedAt":"2026-10-30T00:00:00.000Z","discoveredAt":"2026-11-02T04:41:36.291Z","originalTitle":null},{"id":"ar5dhvxpiyiebgaaetkduv4v0","links":{"aihot":"https://robohot.news/en/items/ar5dhvxpiyiebgaaetkduv4v0","original":"https://x.com/NobleMachines/status/2102425591551021503"},"score":75,"title":"NVIDIA Isaac ROS 5.0 released at ROSCon, open source and supporting Jetson Orin Nano through Thor","reason":"This version update lists GPU-accelerated libraries and inference tools that can be adopted directly on Jetson edge platforms, giving readers a basis for weighing in-house development against adoption.","source":{"name":"Noble Machines · X"},"summary":"NVIDIA released the open-source Isaac ROS 5.0 at ROSCon in Toronto, adding agentic workflows, Isaac Skills, ROS 2 Lyrical support, and GPU-accelerated libraries, with Jetson support spanning Orin Nano through Thor.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/ar5dhvxpiyiebgaaetkduv4v0","name":"RoboHot"},"publishedAt":"2026-09-22T15:51:36.000Z","discoveredAt":"2026-10-17T11:27:23.303Z","originalTitle":null},{"id":"atw4mowjueppvv1ucv4se056l","links":{"aihot":"https://robohot.news/en/items/atw4mowjueppvv1ucv4se056l","original":"https://mp.weixin.qq.com/s?__biz=MzkyNzYwOTc5MQ==&mid=2247486373&idx=1&sn=f6a928af96720b32448549708c16d4dd&chksm=c3d3256d7c6235c268d41a5e41ab8cc87118920db466a52c6c26f1919860dc07ff0d0712392e&scene=126&sessionid=1792492226#rd"},"score":72,"title":"Tsinghua's Zhao Mingguo team publishes Science Robotics paper proposing a unified perception-motion reinforcement learning framework for vision-driven humanoid soccer skills","reason":"The paper breaks down three failure points of the traditional perception-planning-control pipeline and presents a reproducible sim-to-real transfer method.","source":{"name":"加速进化 · 微信公众号"},"summary":"On August 19, Professor Zhao Mingguo's team in Tsinghua University's Department of Automation published the paper \"Learning Vision-Driven Reactive Soccer Skills for Humanoid Robots\" in Science Robotics, selected for the August 2026 humanoid robotics special issue; the robot platform used was a humanoid robot independently developed by Booster.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/atw4mowjueppvv1ucv4se056l","name":"RoboHot"},"publishedAt":"2026-08-20T10:25:42.000Z","discoveredAt":"2026-10-20T10:30:31.461Z","originalTitle":null},{"id":"ay744h1l7xizbfluw3rc004pk","links":{"aihot":"https://robohot.news/en/items/ay744h1l7xizbfluw3rc004pk","original":"https://www.skild.ai/blogs/reindustrial-revolution"},"score":75,"title":"Skild AI partners with ABB Robotics, Universal Robots, and NVIDIA to deploy Skild Brain","reason":"Skild AI describes its own partnership deployment approach with ABB, UR, and NVIDIA and assembly task details, letting readers understand how its general-purpose model enters production lines.","source":{"name":"Skild AI"},"summary":"Skild AI announced partnerships with ABB Robotics and Teradyne-owned Universal Robots and MiR to integrate its general-purpose model Skild Brain into industrial robots, eliminating task-by-task programming and using post-training fine-tuning with a small amount of task data.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/ay744h1l7xizbfluw3rc004pk","name":"RoboHot"},"publishedAt":"2026-03-18T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:06.280Z","originalTitle":null},{"id":"b4ywclltkjzfwsf692miy5bwj","links":{"aihot":"https://robohot.news/en/items/b4ywclltkjzfwsf692miy5bwj","original":"https://www.elibot.com/about/news/188"},"score":64,"title":"Elite Embodied Dual-Arm Robots Enter Apple Supply Chain Drilling Workshop for Mass-Production Loading and Unloading","reason":"The original text provides actual performance figures such as line takt time, yield, and deployment period, allowing readers to understand the implementation path of the embodied dual-arm solution in a mass-production workshop.","source":{"name":"Elite Robots/艾利特机器人"},"summary":"The embodied dual-arm loading and unloading robot jointly developed by Elite and Maixing Robotics has achieved 24/7 unmanned mass production in the drilling workshop of a leading Apple supply chain factory, with a single-cycle takt time of 52 seconds, a loading and unloading yield of 99.9%, and 5 units stably online. The solution uses hybrid force-position control and dynamic trajectory planning to achieve dual-arm coordination, is equipped with the self-developed Yuanqi Primo embodied large model, achieves loading accuracy within ±0.2 mm, and uses a wireless IO four-step handshake scheme to eliminate the need for modifications by the original machine tool manufacturer, shortening the deployment period from 10 days for the first unit to 7 days for the fifth unit.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/b4ywclltkjzfwsf692miy5bwj","name":"RoboHot"},"publishedAt":"2026-08-13T00:00:00.000Z","discoveredAt":"2026-10-12T09:50:46.131Z","originalTitle":null},{"id":"b648cqgho62ej5xfliwwfm9xc","links":{"aihot":"https://robohot.news/en/items/b648cqgho62ej5xfliwwfm9xc","original":"https://www.wandercraft.eu/articles/wandercraft-launches-eve-tm-the-worlds-first-self-balancing-personal-exoskeleton-bringing-hands-free-upright-mobility-to-the-home"},"score":63,"title":"Wandercraft's self-balancing personal exoskeleton Eve officially launches commercially in the US","reason":"The original text is an official announcement of Eve's US commercial launch, explaining its crutch-free self-balancing capability and the access, reimbursement, and training process, so readers can understand the product's positioning and path to real-world adoption.","source":{"name":"Wandercraft"},"summary":"Wandercraft announced the official US commercial launch of its personal exoskeleton Eve, calling it the first FDA-cleared self-balancing personal exoskeleton that does not restrict the neurological level of spinal cord injury, allowing users to stand and perform daily activities hands-free without crutches. The access process includes clinical evaluation, a physician's prescription, individualized customization, and training; Medicare covers it under HCPCS code K1007, NSM supports delivery through more than 180 locations, and it is backed by a 16-participant training study published in JoVE.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/b648cqgho62ej5xfliwwfm9xc","name":"RoboHot"},"publishedAt":"2026-09-16T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:40.527Z","originalTitle":null},{"id":"bb8wanqcb4jhna54tan722z3g","links":{"aihot":"https://robohot.news/en/items/bb8wanqcb4jhna54tan722z3g","original":"https://mp.weixin.qq.com/s?__biz=MzkyMTc1NTI3Ng==&mid=2247509317&idx=1&sn=6752dccbe5f3e69deba102c4786a1e16&chksm=c029712d84f6081a8b10cdccabf402c0c81123d702bb2de9cc64ed479d9234407356645b633a&scene=126&sessionid=1792513817#rd"},"score":77,"title":"Isaac Lab 3.0 released: multi-backend architecture, most workflows no longer require Isaac Sim installation","reason":"The original article lists the specific changes in the multi-backend architecture and the removal of the Isaac Sim installation requirement, as well as the environment and interface changes needed for migration, making it easier to judge the upgrade cost for existing projects.","source":{"name":"Xbotics具身智能实验室 · 微信公众号"},"summary":"Isaac Lab 3.0 has been officially released, and the official recommendation is for new projects and projects migrating from 2.x to use v3.0.0 as their base. The new version adopts a multi-backend architecture with a unified task API, supporting backends such as Newton and OV Libraries. Supported tasks can switch physics, rendering, and visualization backends without rewriting logic, and most workflows do not require installing or launching Isaac Sim.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/bb8wanqcb4jhna54tan722z3g","name":"RoboHot"},"publishedAt":"2026-10-20T08:06:13.000Z","discoveredAt":"2026-10-20T16:34:57.861Z","originalTitle":null},{"id":"bbhqfyz55rz67rsmb9tbtgklf","links":{"aihot":"https://robohot.news/en/items/bbhqfyz55rz67rsmb9tbtgklf","original":"https://arxiv.org/abs/2611.09892"},"score":80,"title":"Paper analyzes agentic manipulation policies: AMP1 achieves 85.6% zero-shot success rate","reason":"The paper reports zero-shot success rates and real-world trial data for a generalist AI model directly controlling a robotic arm, which can be compared with specialist policies such as VLA and WAM.","source":{"name":"arXiv cs.RO"},"summary":"The paper proposes agentic manipulation policies (AMP), in which a generalist AI model directly controls a robotic arm and adjusts its actions as the task progresses. The authors' reference implementation, AMP1, runs unchanged across single-arm, bimanual, and mobile manipulation.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/bbhqfyz55rz67rsmb9tbtgklf","name":"RoboHot"},"publishedAt":"2026-11-09T05:00:00.000Z","discoveredAt":"2026-11-09T05:05:14.108Z","originalTitle":null},{"id":"bfobc99ojn7gn9yzodgchocgq","links":{"aihot":"https://robohot.news/en/items/bfobc99ojn7gn9yzodgchocgq","original":"https://dexterity.ai/blog/fedex-hagerstown-physical-ai-deployment"},"score":64,"title":"FedEx and Dexterity expand deployment of Foresight and Mech automated trailer-loading systems at Hagerstown hub","reason":"The original article provides details on the production-scale deployment from pilot to a large hub, helping readers understand how physical AI is actually being implemented in logistics loading and unloading scenarios.","source":{"name":"Dexterity"},"summary":"FedEx and Dexterity announced an expansion of their partnership to deploy Dexterity's Foresight world model and Mech dual-arm trailer-loading system at scale at the Hagerstown hub in Maryland, after the technology completed years of joint development, testing, and operational validation at pilot sites.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/bfobc99ojn7gn9yzodgchocgq","name":"RoboHot"},"publishedAt":"2026-07-29T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:04.006Z","originalTitle":null},{"id":"bjfiotyevod153aleib3e5idr","links":{"aihot":"https://robohot.news/en/items/bjfiotyevod153aleib3e5idr","original":"https://mp.weixin.qq.com/s?__biz=MzYzMTMyMTIyMw==&mid=2247484633&idx=1&sn=a6509f99eb0117a3f099bfa9d4b5c01f&chksm=f1ed7c6445aea8a11444ad9062eca0ac1cc540a0e1e91b3081d0486b5e9fa71809012a75e774&scene=126&sessionid=1793968307#rd"},"score":72,"title":"Zhijian Dynamics and Hangcha Group deploy robot sorting line for supermarket front warehouses","reason":"Readers can learn about the actual deployment conditions of the supermarket front-warehouse sorting line and the single-machine efficiency and accuracy data.","source":{"name":"至简动力 · 微信公众号"},"summary":"On November 3, Zhijian Dynamics and Hangcha Group completed the deployment of the first robot sorting line for a supermarket front warehouse, connecting the full workflow from AMR merge feeding, robot autonomous planning and dexterous grasping and turning, and scan verification to order distribution. The line uses the iX robot body that Zhijian Dynamics customized for Hangcha, and relies on visual perception and VLA task planning to handle boxed, bagged, bottled, and other product forms without the need to model each SKU separately. Measured single-machine sorting efficiency reaches up to 450 items per hour, with accuracy stable above 98%, and under full load it can support 24-hour continuous fault-free operation.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/bjfiotyevod153aleib3e5idr","name":"RoboHot"},"publishedAt":"2026-11-06T11:16:06.000Z","discoveredAt":"2026-11-06T12:31:47.433Z","originalTitle":null},{"id":"bl4urmn1vc3gbhm7spibhug7m","links":{"aihot":"https://robohot.news/en/items/bl4urmn1vc3gbhm7spibhug7m","original":"https://www.figure.ai/news/reinforcement-learning-walking"},"score":66,"title":"Figure AI uses reinforcement learning to give Figure 02 humanoid robot a natural, human-like walk","reason":"The original text provides details on the training method and sim-to-real transfer for Figure 02's reinforcement-learning-based human-like walking, offering insight into its technical approach.","source":{"name":"Figure AI"},"summary":"Figure AI released an end-to-end reinforcement learning walking controller that lets the Figure 02 humanoid robot learn a human-like gait in simulation by imitating human reference trajectories through rewards, including heel strike, toe push-off, and arm swing. Training runs in parallel across thousands of robots in GPU-accelerated physics simulation, collecting years of simulated data in hours, and combines domain randomization with kHz-level torque feedback control to achieve zero-shot transfer to the real robot; 10 Figure 02 units run the same neural network without individual tuning.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/bl4urmn1vc3gbhm7spibhug7m","name":"RoboHot"},"publishedAt":"2025-03-25T00:00:00.000Z","discoveredAt":"2026-10-12T11:50:34.796Z","originalTitle":null},{"id":"bng8iztnueayt0co0ejk2zgg9","links":{"aihot":"https://robohot.news/en/items/bng8iztnueayt0co0ejk2zgg9","original":"https://huggingface.co/papers/2610.36068"},"score":80,"title":"Rollback: Using World-Model Backtracking of Counterfactual Experience to Improve Robot Policies","reason":"The world model is used as a backtrackable counterfactual engine to provide fine-grained action-level supervision for policy improvement, and the improvement margins on three real-robot tasks are reported.","source":{"name":"HuggingFace Daily Papers"},"summary":"Rollback proposes a policy improvement paradigm that turns an action-conditioned world model from a one-way simulator into a backtrackable counterfactual engine: it returns to key decision points, branches to try different actions, and compares the outcomes, thereby distilling counterfactual results into action-level supervision without learning a separate value model.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/bng8iztnueayt0co0ejk2zgg9","name":"RoboHot"},"publishedAt":"2026-10-26T00:00:00.000Z","discoveredAt":"2026-10-28T02:23:31.735Z","originalTitle":null},{"id":"bo743e6w3hlgh4n7lcy4nkmnj","links":{"aihot":"https://robohot.news/en/items/bo743e6w3hlgh4n7lcy4nkmnj","original":"https://dexterity.ai/blog/instinct"},"score":62,"title":"Dexterity launches Instinct tactile intelligence system","reason":"The official release provides measured production-environment data and details of the force-guided manipulation architecture, which readers can use to understand how tactile skills coordinate with the Foresight world model for recovery.","source":{"name":"Dexterity"},"summary":"Dexterity announced the launch of Instinct, a tactile intelligence system that reads force at 500–2000 Hz and responds in 0.5–2 ms to perform force-guided bin packing on production lines, with a median placement time of 4.55 seconds and an overall team success rate of 81% (95% CI 75%–86%, sampled from 854 placements). Placements that cannot be completed are quickly identified and handed back to the Foresight world model to retry with a different angle or position; the same skill delivers consistent performance across different robotic arm hardware and generalizes to objects of different materials.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/bo743e6w3hlgh4n7lcy4nkmnj","name":"RoboHot"},"publishedAt":"2026-04-13T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:04.057Z","originalTitle":null},{"id":"bvy1hy9g2r7jfms8cp2nvkb82","links":{"aihot":"https://robohot.news/en/items/bvy1hy9g2r7jfms8cp2nvkb82","original":"https://standardbots.com/blog/standard-bots-raises-63m-to-accelerate-ai-in-robotics"},"score":67,"title":"Standard Bots raises $63 million to advance AI robotics and RO3 robotic arm product line","reason":"The original text provides the funding amount, lead investor, and use of funds, and discloses the payload and reach specifications of two robotic arms, allowing readers to understand its product direction.","source":{"name":"Standard Bots"},"summary":"Standard Bots announced it has secured $63 million in funding; the latest Series B round was led by General Catalyst, with participation from Amazon Industrial Innovation Fund and Samsung Next.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/bvy1hy9g2r7jfms8cp2nvkb82","name":"RoboHot"},"publishedAt":"2025-04-22T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:37.815Z","originalTitle":null},{"id":"bwgriu7eyfx1s43o4fx7tq2lg","links":{"aihot":"https://robohot.news/en/items/bwgriu7eyfx1s43o4fx7tq2lg","original":"https://arxiv.org/abs/2611.09124"},"score":79,"title":"A2-MEAS: An Embodied Multi-Agent Framework with Code as a Scaling Interface","reason":"The framework uses code as a scaling interface, injects corrective language and execution history into the policy, and provides quantitative comparisons across benchmarks and real-robot tasks.","source":{"name":"arXiv cs.RO"},"summary":"The authors propose A2-MEAS, an embodied multi-agent framework that uses code as a scaling interface, combining corrective language, spatial evidence, execution history, and action proposals into correction codes; during training, MetaBrain provides supervision and runtime guidance.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/bwgriu7eyfx1s43o4fx7tq2lg","name":"RoboHot"},"publishedAt":"2026-11-09T05:00:00.000Z","discoveredAt":"2026-11-09T05:05:13.913Z","originalTitle":null},{"id":"c22jtnwkt1nl4y5sjbzz4ev7s","links":{"aihot":"https://robohot.news/en/items/c22jtnwkt1nl4y5sjbzz4ev7s","original":"https://www.skild.ai/blogs/skild-zebra"},"score":67,"title":"Skild AI Acquires Zebra Technologies' Robotics Division to Advance Warehouse Deployments","reason":"The acquirer itself explained the integration direction, so readers can judge how its platform and general-purpose models will be combined to enter warehouse settings.","source":{"name":"Skild AI"},"summary":"Skild AI announced the acquisition of Zebra Technologies' robotics division (formerly Fetch Robotics), and plans to deploy Skild Brain in warehouse settings to automate end-to-end fulfillment processes. Zebra's Symmetry Fulfillment scheduling platform has been validated in logistics environments, where it can coordinate tasks among robots and frontline workers; the company says the acquisition will accelerate its data flywheel and expand into more verticals and robot form factors.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/c22jtnwkt1nl4y5sjbzz4ev7s","name":"RoboHot"},"publishedAt":"2026-04-14T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:06.262Z","originalTitle":null},{"id":"c4p2cgirk6vdv8n8greza8edu","links":{"aihot":"https://robohot.news/en/items/c4p2cgirk6vdv8n8greza8edu","original":"https://mp.weixin.qq.com/s/fLCcw0Hfj6gxM7DefKK3Gg"},"score":72,"title":"Bot Auto completes first fully driverless truck real-world road test","reason":"The article sorts out the differences between Bot Auto's truly driverless road test and earlier modes with safety drivers, escort vehicles, and remote control, helping readers understand the differences in its technical approach.","source":{"name":"线性资本"},"summary":"Linear Capital portfolio company Bot Auto announced it has completed its first real-world road test in which the truck truly performed all operations on its own, with no one in the driver's seat, the back seat, or at a remote-control terminal, and no escort vehicle. During the test, the truck on a Texas highway handled scenarios including avoidance, detouring, merging, and responding to the appearance of a fire truck. The vehicle is equipped with 15 cameras, 8 lidars, and 3 millimeter-wave radars, with redundancy in perception, computing, actuation, and power supply; after the primary server is shut down it can switch to a backup server, and if the backup is also shut down, the vehicle control unit takes over to pull over and stop.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/c4p2cgirk6vdv8n8greza8edu","name":"RoboHot"},"publishedAt":"2025-09-18T04:55:30.000Z","discoveredAt":"2026-10-17T09:14:52.746Z","originalTitle":null},{"id":"c5cx5npi7zhdi1r0jiauciirx","links":{"aihot":"https://robohot.news/en/items/c5cx5npi7zhdi1r0jiauciirx","original":"https://www.psibot.ai/scaling-pair-data-for-embodied-intelligence-zh/"},"score":73,"title":"Psi Robotics Releases Psi-R2.5 Model: Scaling Human Data for Embodied Intelligence with Strong Pair Data","reason":"The original article details how strong pair data is generated and the data quality standards, giving readers a referenceable path for aligning human data to robot data.","source":{"name":"PsiBot/灵初智能"},"summary":"Psi Robotics released the Psi-R25 robot manipulation model. Its core upgrades are improved data quality and data attribute compression: it reviewed and extracted high-quality data from 100,000 hours of data, and used strong pair data to align human data with robot data.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/c5cx5npi7zhdi1r0jiauciirx","name":"RoboHot"},"publishedAt":"2026-09-20T10:44:54.000Z","discoveredAt":"2026-10-12T09:50:36.975Z","originalTitle":null},{"id":"c81wvp3k1gmn648d4t0843xb2","links":{"aihot":"https://robohot.news/en/items/c81wvp3k1gmn648d4t0843xb2","original":"https://arxiv.org/abs/2606.13102"},"score":78,"title":"FTP-1: A Generalist Foundation Tactile Policy Across Tactile Sensors","reason":"This work unifies multiple tactile signals into a shared policy and reports changes in success rates for cross-sensor transfer, offering a reference for tactile manipulation research.","source":{"name":"arXiv cs.RO"},"summary":"The research team proposes FTP-1, a generalist foundation tactile policy pretrained across multiple tactile sensors and embodiments. It uses heterogeneous encoders to map image-, array-, and state-based tactile signals into unified morphology-aware latent tokens, which are jointly modeled by a shared tactile Transformer expert.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/c81wvp3k1gmn648d4t0843xb2","name":"RoboHot"},"publishedAt":"2026-10-28T04:00:00.000Z","discoveredAt":"2026-10-28T04:00:31.310Z","originalTitle":null},{"id":"cacxmm46m51iapql1eaf5gvfq","links":{"aihot":"https://robohot.news/en/items/cacxmm46m51iapql1eaf5gvfq","original":"https://mp.weixin.qq.com/s/wYbQZnms_0924w4rmHvrMw"},"score":64,"title":"RIVR partners with Just Eat Takeaway to bring fully autonomous delivery robots to the European market","reason":"The original article discloses the wheel-legged design, cargo compartment specifications, and rollout timeline, allowing readers to assess the deployment path for this type of delivery robot in real urban environments.","source":{"name":"线性资本"},"summary":"Swiss embodied intelligence company RIVR (formerly Swiss-Mile) announced a partnership with Just Eat Takeaway.com, Europe's largest food delivery platform, to bring fully autonomous delivery robots to the European market, starting in Zurich, Switzerland, where local restaurants have already begun delivering real orders.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/cacxmm46m51iapql1eaf5gvfq","name":"RoboHot"},"publishedAt":"2025-08-25T00:53:48.000Z","discoveredAt":"2026-10-17T09:14:52.789Z","originalTitle":null},{"id":"cd9pbyubxbjorzohy96gwj52j","links":{"aihot":"https://robohot.news/en/items/cd9pbyubxbjorzohy96gwj52j","original":"https://www.zeroth0.com/blogs/news/zeroth-secures-nearly-500-million-yuan-in-pre-a-financing-hits-1-billion-yuan-total-funding-to-lead-home-embodied-ai-1"},"score":67,"title":"Zeroth completes nearly 500 million yuan Pre-A round, total funding reaches 1 billion yuan","reason":"The original article provides verifiable facts such as the financing amount, investor composition, and order scale, allowing readers to understand the commercialization progress of this home embodied intelligence company.","source":{"name":"Zeroth/元点智能"},"summary":"Zeroth (Yuandian Intelligence) announced the completion of nearly 500 million yuan in Pre-A financing, bringing its cumulative funding to 1 billion yuan. The round was led by Ant Group, with Gili Capital, 37 Interactive Entertainment, and China Growth Capital participating, while existing shareholder Monolith increased its stake. Founded a year and a half ago, the company has received orders for more than 30,000 robots, and its revenue in the first half of 2026 grew 600% year on year. It also launched the full-size humanoid robot Jupiter and the collaborative robot N1, while the M1 small humanoid robot and the W1 tracked robot have entered scenarios such as early childhood education and smart homes.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/cd9pbyubxbjorzohy96gwj52j","name":"RoboHot"},"publishedAt":"2026-07-06T14:00:01.000Z","discoveredAt":"2026-10-12T09:50:40.583Z","originalTitle":null},{"id":"cf2e6kx63ups2zl1jb5znuu43","links":{"aihot":"https://robohot.news/en/items/cf2e6kx63ups2zl1jb5znuu43","original":"https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==&mid=2247644026&idx=2&sn=031c0777bc72cca1c514069471460758&chksm=f8213f2f080a5fa1f067d9b50eb9a9de95d5354ae3abdd068efdfcb954f1ecacc6a9b201cfe4&scene=126&sessionid=1793109624#rd"},"score":77,"title":"Tsinghua AIR proposes OxyGen: unified KV Cache management lets robots talk while acting","reason":"The paper presents a unified KV Cache management scheme and measured data across multiple platforms, offering a reference for on-device embodied inference deployment.","source":{"name":"CVer · 微信公众号"},"summary":"The Institute for AI Industry Research (AIR) at Tsinghua University, together with Tsinghua's Department of Electronic Engineering and the University of Science and Technology of China, has proposed OxyGen, which uses unified KV Cache management to let an embodied model's action and language reasoning share prefix computation. The paper has been accepted to NeurIPS 2026.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/cf2e6kx63ups2zl1jb5znuu43","name":"RoboHot"},"publishedAt":"2026-10-27T05:05:00.000Z","discoveredAt":"2026-10-27T14:00:26.584Z","originalTitle":null},{"id":"cmkkrpztc9lvcjl5hzabsh9j4","links":{"aihot":"https://robohot.news/en/items/cmkkrpztc9lvcjl5hzabsh9j4","original":"https://www.agibot.com/article/231/detail/123.html"},"score":67,"title":"AgiBot and Chimelong launch large-scale deployment of over 300 robots, deliver 20,000th humanoid robot","reason":"The deployment covers seven scenarios and operational details such as the 5G-A network, offering insight into how embodied intelligence is deployed at scale in commercial cultural tourism environments.","source":{"name":"AgiBot"},"summary":"AgiBot and Chimelong Group launched their first large-scale embodied intelligence deployment at Chimelong Universe Park, with over 300 robots connected across seven scenarios: entertainment, science education, guided tours, retail, AI companionship, hotel services, and sports competition. The deployment includes a dedicated 5G-A network supported by China Telecom and China Mobile, multi-robot coordination, and safety operations support. The 20,000th robot to roll off the AgiBot production line was also delivered, and the two parties announced a joint institute for embodied intelligence in cultural tourism.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/cmkkrpztc9lvcjl5hzabsh9j4","name":"RoboHot"},"publishedAt":"2026-09-23T00:00:00.000Z","discoveredAt":"2026-10-12T09:50:04.549Z","originalTitle":null},{"id":"cpja0xfl77vqptaf9ltcyw966","links":{"aihot":"https://robohot.news/en/items/cpja0xfl77vqptaf9ltcyw966","original":"https://www.agilityrobotics.com/content/agility-robotics-and-churchill-capital-corp-xi-announce-expected-gross-capital-raise-of-approximately-465-million-and-anticipated-closing-of-business-combination"},"score":70,"title":"Agility Robotics and Churchill Capital Corp XI Expect to Raise Approximately $465 Million and Complete Merger","reason":"Readers can learn about the funding composition of Agility's listing through its merger with Churchill XI, as well as the order and delivery pace of Digit 5.","source":{"name":"Agility Robotics"},"summary":"Agility Robotics and Churchill Capital Corp XI announced that the expected gross capital raise from the merger and related financing is approximately $465 million (before transaction expenses), of which approximately $164 million comes from the Churchill XI trust account, approximately $201 million from a PIPE at $10 per share (led by Foxconn), and $100 million in equity financing received after the merger was announced.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/cpja0xfl77vqptaf9ltcyw966","name":"RoboHot"},"publishedAt":"2026-10-29T16:00:00.000Z","discoveredAt":"2026-10-30T14:28:18.593Z","originalTitle":null},{"id":"cq6vzaueyvjqm8h23p618u3yh","links":{"aihot":"https://robohot.news/en/items/cq6vzaueyvjqm8h23p618u3yh","original":"https://nvidianews.nvidia.com/news/openshell-reference-architecture"},"score":62,"title":"NVIDIA releases OpenShell reference architecture for building governed AI agents","reason":"The original text explains the reference architecture's layered design and millisecond-level isolation mechanism, which helps readers understand how it brings agent security down to the hardware layer.","source":{"name":"NVIDIA"},"summary":"At GTC Berlin, NVIDIA announced that the OpenShell reference architecture is now available for building, isolating, observing, and governing secure AI agents on enterprise infrastructure and edge systems.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/cq6vzaueyvjqm8h23p618u3yh","name":"RoboHot"},"publishedAt":"2026-10-20T16:00:00.000Z","discoveredAt":"2026-10-21T10:38:43.198Z","originalTitle":null},{"id":"cvmyu68pzr5fb49xfwxs2duw7","links":{"aihot":"https://robohot.news/en/items/cvmyu68pzr5fb49xfwxs2duw7","original":"https://www.livoxtech.com/news/mid360_launch"},"score":69,"title":"Livox releases compact omnidirectional hybrid solid-state LiDAR Mid-360","reason":"It gives hard specifications such as size, field of view, range, and price, making it easier to judge its potential to replace perception solutions for low-speed mobile robots.","source":{"name":"Livox"},"summary":"On January 10, Livox released the hybrid solid-state LiDAR Mid-360, with a body size of 6.5 × 6.5 × 6 cm, nearly 60% smaller than the previous generation Mid-70 in the same series, and providing 40-line point cloud density.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/cvmyu68pzr5fb49xfwxs2duw7","name":"RoboHot"},"publishedAt":"2023-01-10T00:00:00.000Z","discoveredAt":"2026-10-17T05:11:55.526Z","originalTitle":null},{"id":"cyyinq5iaej0c9dxlsidgxmrx","links":{"aihot":"https://robohot.news/en/items/cyyinq5iaej0c9dxlsidgxmrx","original":"https://www.leaderobot.com/news/9027"},"score":79,"title":"Italy's IIT and INAIL unveil ergoCub humanoid robot; human-robot collaborative lifting can reduce load on the human lumbosacral joint","reason":"The original article lays out methods for building ergonomics into robot hardware optimization along with real-robot data, letting readers understand how design and control are organized around human-robot collaboration.","source":{"name":"LeadeRobot"},"summary":"The Italian Institute of Technology (IIT) and INAIL proposed a shared embodied intelligence architecture and built the humanoid robot ergoCub; the research was published in Nature Machine Intelligence.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/cyyinq5iaej0c9dxlsidgxmrx","name":"RoboHot"},"publishedAt":"2026-08-09T00:00:00.000Z","discoveredAt":"2026-10-12T09:50:13.180Z","originalTitle":null},{"id":"czob2xr3o74dr11ybmt9gs50y","links":{"aihot":"https://robohot.news/en/items/czob2xr3o74dr11ybmt9gs50y","original":"https://robot.ofweek.com/2026-10/ART-898890-12003-30707387.html"},"score":83,"title":"Unitree Robotics launches STAR Market IPO subscription: issue price 150.80 yuan, post-issue market cap about 61 billion yuan","reason":"The original article uses the listing data of UBTech, Geek+, and Estun as comparisons to help readers understand the logic and risks behind Unitree's high-multiple subscription and high pricing.","source":{"name":"OFweek Robotics"},"summary":"Unitree Robotics launched its STAR Market IPO subscription on August 10, with subscription code 787836, an issue price of 150.80 yuan per share, a corresponding issue price-to-earnings ratio of 219.23 times, a post-issue total market capitalization of about 60.993 billion yuan, and expected fundraising of about 6.099 billion yuan, an oversubscription of about 45%. Unitree's 2025 revenue was about 1.699 billion yuan, net profit attributable to parent was about 278 million yuan, and actual shipments exceeded 5,500 units; the article, citing precedents such as UBTech, Geek+, and Estun, notes that robot themes and first-day gains show no general pattern.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/czob2xr3o74dr11ybmt9gs50y","name":"RoboHot"},"publishedAt":"2026-10-16T02:53:00.000Z","discoveredAt":"2026-10-16T03:25:30.792Z","originalTitle":null},{"id":"d0kme4l2dsrjmrooz1jweke5c","links":{"aihot":"https://robohot.news/en/items/d0kme4l2dsrjmrooz1jweke5c","original":"https://www.leiphone.com/category/robot/23F3DiDtv7Puosqy.html"},"score":76,"title":"AgiBot's 20,000th embodied robot delivered to Chimelong, with over 300 robots to be stationed at the park in the first phase","reason":"The report documents the specific operational support for the large-scale, routine deployment of robots at the park, helping readers understand the real-world requirements of deployment.","source":{"name":"Leiphone Robotics"},"summary":"On September 24, AgiBot's 20,000th embodied intelligent robot, the Expedition A3 Ultra, rolled off the production line and was delivered to Chimelong Group. In the first phase, over 300 AgiBot robots will be introduced at Hengqin Chimelong Spaceship Park, deployed across more than 100 interactive experience points and covering seven major scenarios including entertainment performances, guided tours, retail, and hotels. The collaboration also includes the implementation of a 5G-A embodied intelligence innovation application, a one-stop operations and maintenance management platform, and a security solution covering six major dimensions. The Expedition series offers up to 10 hours of battery life, and the robots support 360-degree omnidirectional perception and compliant control. The overall deployment scale is expected to reach several thousand units.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/d0kme4l2dsrjmrooz1jweke5c","name":"RoboHot"},"publishedAt":"2026-09-25T16:33:00.000Z","discoveredAt":"2026-10-12T11:50:41.371Z","originalTitle":null},{"id":"d2lovdfsdbosa04l63q7hsbq7","links":{"aihot":"https://robohot.news/en/items/d2lovdfsdbosa04l63q7hsbq7","original":"https://www.agile-robots.com/en/news/detail/agile-robots-launches-agile-one-sn/"},"score":68,"title":"Agile Robots and NVIDIA unveil compact humanoid reference platform Agile ONE SN at GTC","reason":"The original article lists the specific configuration of the robot's whole-body degrees of freedom, compute power, and preconfigured software stack, which can be used to assess how this integrated solution for R&D labs connects with the industrial model.","source":{"name":"Agile Robots/思灵机器人"},"summary":"At NVIDIA GTC, Agile Robots and NVIDIA unveiled Agile ONE SN, a compact humanoid reference platform for R&D, built on the NVIDIA Isaac GR00T development platform and integrating a complete workflow spanning demonstration capture, simulation, training, evaluation, deployment, and real-world testing.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/d2lovdfsdbosa04l63q7hsbq7","name":"RoboHot"},"publishedAt":"2026-10-21T11:35:00.000Z","discoveredAt":"2026-10-21T12:08:43.841Z","originalTitle":null},{"id":"d33jjo7exmwwme1y49abkclw0","links":{"aihot":"https://robohot.news/en/items/d33jjo7exmwwme1y49abkclw0","original":"https://www.youtube.com/watch?v=a3GY8r4NUgA"},"score":67,"title":"Kinetix AI releases KAI World Model, supporting locomotion and manipulation tasks","reason":"The original shows live demonstrations of the world model on two types of tasks—a robotic arm opening a can and a humanoid playing table tennis—which can be used to understand its approach to generalization across tasks and embodiments.","source":{"name":"Kinetix AI · YouTube"},"summary":"Kinetix AI has released the KAI World Model, which is based on parallel video generation and 4D spatial modeling and can simultaneously generate virtual worlds and reconstruct spatial scenes. The model was pre-trained on millions of videos and supports pure locomotion, pure manipulation, and coordinated locomotion-manipulation tasks; it claims generalization across tasks and across robot embodiments. Live demonstrations include a robotic arm autonomously opening a beverage can and a humanoid robot playing real-time table tennis rallies.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/d33jjo7exmwwme1y49abkclw0","name":"RoboHot"},"publishedAt":"2026-10-27T03:25:02.000Z","discoveredAt":"2026-10-27T08:18:23.655Z","originalTitle":null},{"id":"d640vbtvm52dwrpms3zqzc8fj","links":{"aihot":"https://robohot.news/en/items/d640vbtvm52dwrpms3zqzc8fj","original":"https://mp.weixin.qq.com/s?__biz=MzU1MjY4MTA1MQ==&mid=2247752782&idx=1&sn=c287cef06b9441ca41c9ddd36bed24fd&chksm=fa870e420c71094b81fbf5e4282303ae2e15b7386c160862255563b07f8b7feac331d832406b&scene=126&sessionid=1793616322#rd"},"score":78,"title":"Any3R goes open source: one model unifies 3D reconstruction and pose estimation for pinhole, fisheye, and panoramic cameras","reason":"The article presents a feed-forward 3D reconstruction method that replaces the pinhole assumption with a dense ray field, offering insight into handling mixed inputs from multiple camera types.","source":{"name":"3D视觉工坊 · 微信公众号"},"summary":"South Dakota State University and other institutions propose Any3R, which uses a dense ray field to describe arbitrary central cameras, reconstructing a 3D point cloud and estimating pose from mixed-camera images in a single forward pass. The method replaces the row and column indices of rotary position encoding with angular coordinates and weights the pixel loss by solid angle, so one set of weights covers pinhole, fisheye beyond 180°, and 360° panoramic cameras. On benchmarks spanning 13 central camera types and 3 datasets, it leads in both reconstruction accuracy and pose accuracy; the inference code, 13 camera models, and weights are open-sourced.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/d640vbtvm52dwrpms3zqzc8fj","name":"RoboHot"},"publishedAt":"2026-11-01T23:00:00.000Z","discoveredAt":"2026-11-02T10:45:39.872Z","originalTitle":null},{"id":"dap551e4vqwarf7ff0zpcb5v8","links":{"aihot":"https://robohot.news/en/items/dap551e4vqwarf7ff0zpcb5v8","original":"https://mp.weixin.qq.com/s/nPGOU6Cg9YDrvdr9pSCkPA"},"score":61,"title":"Realman Intelligent announces nearly 500 million yuan in funding to build AUTRON production line super factory","reason":"The company describes its own progress on funding, production capacity, certification, and its remote operation network, giving readers a basis to understand how its hardware-plus-data strategy is actually advancing.","source":{"name":"RealMan/睿尔曼"},"summary":"Realman Intelligent announced it has completed nearly 500 million yuan in funding, jointly and strategically invested by industrial parties from multiple listed companies. The funds will go toward product R&D, construction of the AUTRON production line super factory, and global ecosystem development. The article states that its integrated joint modules exceeded an annual production capacity of 100,000 units in 2025, that its robotic arms passed CR L3 certification and achieved a mean time between failures of 50,000 hours, and that the GLN remote operation network and the Beijing Humanoid Robot Data Training Center have accumulated tens of millions of real-machine trajectory segments. The company serves more than 8,000 enterprise users worldwide.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/dap551e4vqwarf7ff0zpcb5v8","name":"RoboHot"},"publishedAt":"2026-03-04T11:00:45.000Z","discoveredAt":"2026-10-12T09:51:12.484Z","originalTitle":null},{"id":"dhb3fln2gznm5s56kdwh9fiuf","links":{"aihot":"https://robohot.news/en/items/dhb3fln2gznm5s56kdwh9fiuf","original":"https://mp.weixin.qq.com/s/FLtF_bOfamS9-yk89TV1NA"},"score":67,"title":"Puhua Capital portfolio company Huanchuang Technology debuts on HKEX Main Board, up 185.47% on first day","reason":"The shipment and market share data presented around the listing give readers a quick view of the competitive landscape in the robot vacuum LiDAR sector.","source":{"name":"普华资本"},"summary":"Shenzhen Huanchuang Technology Co., Ltd. (stock short name: Huanchuang Technology, stock code: 06802) listed on the Main Board of the Hong Kong Stock Exchange today. As of publication, shares were up 185.47% at HK$168 per share.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/dhb3fln2gznm5s56kdwh9fiuf","name":"RoboHot"},"publishedAt":"2026-09-30T02:52:05.000Z","discoveredAt":"2026-10-17T05:14:01.507Z","originalTitle":null},{"id":"dllk7g9ywaeso6cdm60wcwmbl","links":{"aihot":"https://robohot.news/en/items/dllk7g9ywaeso6cdm60wcwmbl","original":"https://modelscope.csdn.net/6ab53ab305257b085712e89f.html"},"score":76,"title":"Infinigence AI and universities launch open-source edge inference engine APXInf, with real-world tests","reason":"The team tested the migration and optimization of π0.5 and Qwen3-VL following the repository's built-in workflow; readers can refer to this division-of-labor approach for Agent-assisted adaptation.","source":{"name":"ModelScope Robotics"},"summary":"Infinigence AI, together with Tsinghua University and Shanghai Jiao Tong University, launched APXInf, an open-source embodied edge inference engine that has been adapted to 2 embodied models and 3 chips.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/dllk7g9ywaeso6cdm60wcwmbl","name":"RoboHot"},"publishedAt":"2026-09-24T14:58:59.000Z","discoveredAt":"2026-10-12T13:51:39.055Z","originalTitle":null},{"id":"dpop1oczljbps939437lm2587","links":{"aihot":"https://robohot.news/en/items/dpop1oczljbps939437lm2587","original":"https://mp.weixin.qq.com/s/ODKMxg9QsRFKE1H_Z--Y8Q"},"score":60,"title":"Agile Robots and Google DeepMind announce strategic partnership to advance Gemini Robotics in industrial settings","reason":null,"source":{"name":"线性资本"},"summary":"Agile Robots and Google DeepMind jointly announced a strategic partnership that combines the Gemini Robotics foundation model with Agile Robots' scalable industrial robotics platform, with an initial focus on high-value industrial scenarios such as 3C manufacturing and automotive manufacturing.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/dpop1oczljbps939437lm2587","name":"RoboHot"},"publishedAt":"2026-03-25T06:58:02.000Z","discoveredAt":"2026-10-17T09:14:52.439Z","originalTitle":null},{"id":"dpxmuxqdlinqciww582u978f8","links":{"aihot":"https://robohot.news/en/items/dpxmuxqdlinqciww582u978f8","original":"https://www.figure.ai/news/helix-02-bedroom-tidy"},"score":62,"title":"Figure AI shows two Helix-02 humanoid robots collaborating to tidy a bedroom","reason":"The official demonstration shows two humanoid robots driven by the same VLA system collaborating to tidy a bedroom, giving readers insight into an approach to multi-robot collaboration without a shared planner.","source":{"name":"Figure AI"},"summary":"Figure AI demonstrated two humanoid robots equipped with Helix-02 collaborating to tidy a bedroom within two minutes, completing tasks such as opening a door, hanging clothes, putting away headphones, closing a book, taking out trash, pushing a chair under a desk, and making a bed together. The two robots run the same learned vision-language-action (VLA) policy, with no shared planner, message passing, or central coordinator; each infers the other's intent from its actions via its own cameras. The company says that to its knowledge this is the first demonstration of multi-humanoid collaborative mobile manipulation completed by a single learned neural network directly from pixels to actions.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/dpxmuxqdlinqciww582u978f8","name":"RoboHot"},"publishedAt":"2026-05-08T00:00:00.000Z","discoveredAt":"2026-10-12T11:50:34.624Z","originalTitle":null},{"id":"dre8yjic8m0ac5w5l7r0owmk2","links":{"aihot":"https://robohot.news/en/items/dre8yjic8m0ac5w5l7r0owmk2","original":"https://www.tmtpost.com/8186420.html"},"score":81,"title":"Astra's Shockwave and the Embodied AI Industry's 50 Days","reason":"It reviews evaluation results, company reactions, and industrial chain changes in the embodied AI industry within 50 days of GPT-6 Astra's release, presenting the differentiated landscape after general-purpose large models entered robot operation.","source":{"name":"钛媒体"},"summary":"In the 50 days since GPT-6 Astra was released, the embodied AI industry has conducted intensive evaluations and discussions around it, and general-purpose large models have begun directly taking over robot operation. Tests by SenseTime and several institutions concluded that Astra is basically capable of completing embodied tasks, but still has a clear gap from practical use in real environments, underperforming in millimeter-level contact, dynamic control, and response speed. The article also reviews industry uses such as using Astra directly for policies, reviewing VLA actions, building simulation environments, and data annotation, as well as chain reactions including cooling financing and major companies stepping up data collection.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/dre8yjic8m0ac5w5l7r0owmk2","name":"RoboHot"},"publishedAt":"2026-10-29T10:10:00.000Z","discoveredAt":"2026-10-29T10:33:21.902Z","originalTitle":null},{"id":"dtcv2c0wejzti3g8rvrb7rwf3","links":{"aihot":"https://robohot.news/en/items/dtcv2c0wejzti3g8rvrb7rwf3","original":"https://mp.weixin.qq.com/s?__biz=MzU0ODUwNDkzMw==&mid=2247489453&idx=1&sn=79dfc2b4ac276f66988f13b40139e1ca&chksm=fa6711e0c1339b5b758b768b0fbfe9f7cab653e65ee312176143f54d75c7172f96559c28be85&scene=126&sessionid=1792247792#rd"},"score":65,"title":"Benmo Technology Lists on HKEX, Becoming XbotPark's Third Listed Company in Ten Months","reason":"The article traces how direct-drive technology moved from a laboratory prototype to annual shipments of 8.5 million units, covering the engineering and scenario-selection process, and serves as a reference case for deep-tech startup paths.","source":{"name":"松山湖国际机器人研究院 · 微信公众号"},"summary":"On September 29, XbotPark-incubated company Benmo Technology (stock code 06731.HK) began trading on the Main Board of the Hong Kong Stock Exchange. Described as the first direct-drive stock in Hong Kong, it is the third listed company from the XbotPark system, after CiDi and Woan Robotics.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/dtcv2c0wejzti3g8rvrb7rwf3","name":"RoboHot"},"publishedAt":"2026-09-29T11:11:57.000Z","discoveredAt":"2026-10-17T14:36:37.868Z","originalTitle":null},{"id":"dzgmcpehgk7dirkeb1828stnr","links":{"aihot":"https://robohot.news/en/items/dzgmcpehgk7dirkeb1828stnr","original":"https://www.limxdynamics.com/zh/news/BK000063"},"score":69,"title":"LimX Dynamics Completes Nearly $200 Million Pre-IPO Funding Round","reason":"The company officially disclosed the funding amount, use of proceeds, and order progress, giving readers a basis to understand its subsequent capital operations and commercialization direction.","source":{"name":"LimX Dynamics"},"summary":"LimX Dynamics announced the completion of a Pre-IPO funding round of nearly $200 million, bringing its total funding over the past six months to $400 million. Investors include IDG Capital, Lens Technology, GGG Group, Redstone VC, ChinaVision Capital, and Hefei Binhu Industrial Development Group, among others. UAE-based Leishi Capital followed on across multiple consecutive rounds, and several existing shareholders increased their investments beyond their pro-rata shares.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/dzgmcpehgk7dirkeb1828stnr","name":"RoboHot"},"publishedAt":"2026-07-14T00:45:00.000Z","discoveredAt":"2026-10-12T09:50:08.518Z","originalTitle":null},{"id":"e8vsieifonhgn1gwz3f9ju7cg","links":{"aihot":"https://robohot.news/en/items/e8vsieifonhgn1gwz3f9ju7cg","original":"https://www.yaskawa.co.jp/newsrelease/news/1682029"},"score":70,"title":"Yaskawa Electric and GAZOO Racing to Bring AI Autonomous Welding Robot Technology to GR KART Manufacturing Site","reason":"Yaskawa and GAZOO Racing are extending their SFA welding experience into an AI autonomous welding line, and it has already gone into actual production at the GR KART workshop, offering a view of how welding automation moves from validation to the mass-production floor.","source":{"name":"Yaskawa（安川电机）"},"summary":"Yaskawa Electric and Toyota GAZOO Racing have jointly developed AI-driven autonomous robot production technology, with deployment beginning in September 2026 at the Gamagori GR KART workshop. The technology builds on the SFA method (Sequence Freezing Arc Welding) jointly developed by the two parties in 2024, and uses MOTOMAN NEXT robots equipped with GPUs and AI to autonomously recognize the state of pipe frames, complete welding, confirm and correct quality, and analyze appearance images, welding sounds, and various data in an integrated manner.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/e8vsieifonhgn1gwz3f9ju7cg","name":"RoboHot"},"publishedAt":"2026-10-28T05:30:51.000Z","discoveredAt":"2026-10-28T05:07:30.353Z","originalTitle":null},{"id":"ea37qqfd7heulls0hqsondk6x","links":{"aihot":"https://robohot.news/en/items/ea37qqfd7heulls0hqsondk6x","original":"https://github.com/huggingface/lerobot/releases/tag/v0.6.0"},"score":82,"title":"LeRobot v0.6.0 released with multiple breaking changes and new policies","reason":"The release notes list specific breaking changes and migration methods, so developers in the middle of upgrading can use them to check their installation, configuration, and training workflows.","source":{"name":"Hugging Face LeRobot"},"summary":"Hugging Face LeRobot has released v0.6.0: pip install lerobot no longer includes dataset and training dependencies by default, requiring extras to be added as needed; GR00T N1.5 has been replaced by N1.7; and the minimum PyTorch version has been raised to 2.7.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/ea37qqfd7heulls0hqsondk6x","name":"RoboHot"},"publishedAt":"2026-07-08T15:39:00.000Z","discoveredAt":"2026-10-12T09:50:34.971Z","originalTitle":null},{"id":"egqqg5w1huf9edm8qvr1annuh","links":{"aihot":"https://robohot.news/en/items/egqqg5w1huf9edm8qvr1annuh","original":"https://arxiv.org/abs/2610.34356"},"score":77,"title":"RynnVLA-Latent: Scaling Robotic Manipulation Foundation Models with 3D-Grounded Latent Actions","reason":"This research uses 3D-grounded latent actions to turn heterogeneous interaction videos into pretraining supervision, offering a reusable path for VLA models to bypass the scarcity of action annotations.","source":{"name":"arXiv cs.RO"},"summary":"The research team proposes the RynnVLA-Latent framework, which uses RynnLAM to learn continuous, 3D-grounded latent actions from visual changes without native robot control signals, converting 30.1K hours of human, robot, and simulation video into 745.52M latent action descriptors for policy pretraining.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/egqqg5w1huf9edm8qvr1annuh","name":"RoboHot"},"publishedAt":"2026-10-27T04:00:00.000Z","discoveredAt":"2026-10-27T04:01:24.418Z","originalTitle":null},{"id":"eoqifizp7tnwddyt2tyzlerd7","links":{"aihot":"https://robohot.news/en/items/eoqifizp7tnwddyt2tyzlerd7","original":"https://mp.weixin.qq.com/s?__biz=MzkyMTc1NTI3Ng==&mid=2247509281&idx=1&sn=da72fce9f47acbd2fa70f16c9b907649&chksm=c00dacb03a1ad3d17668768ce9f0244bb4f956bb2614aa28709a03cbd4320990c4c3787e42e1&scene=126&sessionid=1792517452#rd"},"score":82,"title":"RLinf v0.4 released: open-source training framework upgrade for embodied reinforcement learning","reason":"It outlines the framework's evolution from simulation to real-machine training, helping readers understand the capability boundaries of the embodied reinforcement learning engineering stack.","source":{"name":"Xbotics具身智能实验室 · 微信公众号"},"summary":"RLinf, an open-source training framework for embodied reinforcement learning developed by Tsinghua University, Infinigence AI, and the Beijing Zhongguancun Academy, has officially released v0.4, with updates across four areas: a Lego-style real-machine system, real-machine post-training algorithms, full-modality model support, and a domestic computing power foundation.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/eoqifizp7tnwddyt2tyzlerd7","name":"RoboHot"},"publishedAt":"2026-10-20T02:56:39.000Z","discoveredAt":"2026-10-20T17:30:54.306Z","originalTitle":null},{"id":"eqbcvc48nnum5md498vv1wdmt","links":{"aihot":"https://robohot.news/en/items/eqbcvc48nnum5md498vv1wdmt","original":"https://mp.weixin.qq.com/s?__biz=MzU1NDA4NjU2MA==&mid=2247668544&idx=1&sn=b3c9ab4042291a9e1177a7990dc8f460&chksm=faad6a4e0917423eb11e772a1689d3e9e2130758a7bf3fe7a2c5b3d00c619e7f27eef9b90751&scene=126&sessionid=1792327252#rd"},"score":78,"title":"Google releases Gemini 4 Argon physical reasoning model, connecting the full robotics R&D chain","reason":"The article breaks down the model's specific uses and measured figures across the robotics R&D chain in four layers: control, simulation, data quality inspection, and self-improvement.","source":{"name":"AI前线 · 微信公众号"},"summary":"Google has released Gemini 4 (Argon), positioned as a general physical reasoning model focused on interaction with the physical world, covering the full robotics lifecycle from control execution and simulation reconstruction to data annotation and self-improvement. On the ERQA embodied reasoning benchmark, Argon scored 87%, surpassing Claude Opus 5.5 (82.3%) and GPT-6 Astra (81%); in the AA-Omniscience test, its hallucination rate was 15%, lower than the 51% and 59% of the latter two.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/eqbcvc48nnum5md498vv1wdmt","name":"RoboHot"},"publishedAt":"2026-10-16T08:43:20.000Z","discoveredAt":"2026-10-18T12:41:13.135Z","originalTitle":null},{"id":"eu70xbic093w2f7zw9l5yiw9x","links":{"aihot":"https://robohot.news/en/items/eu70xbic093w2f7zw9l5yiw9x","original":"https://www.sharpa.com/blogs/news/ai-robotmaker-sharpa-reaches-key-milestone-of-mass-production"},"score":63,"title":"Sharpa announces mass production of SharpaWave dexterous hand, to exhibit at CES 2026","reason":"The manufacturer announced that the dexterous hand has entered mass production and provided technical details such as degrees of freedom, tactile precision, and simulation platform compatibility, which readers can use to assess its research usability.","source":{"name":"Sharpa"},"summary":"Sharpa announced that mass production of its flagship dexterous hand, SharpaWave, has begun, with early customers including global technology companies and research universities.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/eu70xbic093w2f7zw9l5yiw9x","name":"RoboHot"},"publishedAt":"2025-12-19T02:42:31.000Z","discoveredAt":"2026-10-12T09:50:35.465Z","originalTitle":null},{"id":"eu8nqsc0kez6jjtlfrz0ytwh9","links":{"aihot":"https://robohot.news/en/items/eu8nqsc0kez6jjtlfrz0ytwh9","original":"https://www.agilityrobotics.com/content/agility-robotics-highlights-commercial-momentum-and-growing-enterprise-demand-for-digit-humanoid-robot"},"score":62,"title":"Agility Robotics reports Digit commercial progress: GXO expands to two new facilities, three new manufacturing customers added","reason":"The original article disclosed Digit's expansion at GXO, three new manufacturing customers, and more than 30 potential customers, which can be used to observe the pace of commercial deployment of humanoid robots.","source":{"name":"Agility Robotics"},"summary":"Agility Robotics announced the commercial progress of its Digit humanoid robot on October 26. GXO said it will deploy Digit at two new facilities in Statesville, North Carolina, and Lebanon, Tennessee, with deployment expected to begin in early 2027 using Digit 4, followed by a transition to Digit 5.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/eu8nqsc0kez6jjtlfrz0ytwh9","name":"RoboHot"},"publishedAt":"2026-10-25T16:00:00.000Z","discoveredAt":"2026-10-26T13:55:22.684Z","originalTitle":null},{"id":"exwjvyu3qk0afabl3hafox6ao","links":{"aihot":"https://robohot.news/en/items/exwjvyu3qk0afabl3hafox6ao","original":"https://www.psibot.ai/from-human-skill-to-robotic-mastery-zh/"},"score":74,"title":"Lingchu Intelligence Releases Psi-R2 and Psi-W0 Dual Models, Pretrained on 100,000 Hours of Human Data","reason":"The original article, written by the team itself, breaks down the dual-model architecture and data governance conclusions, offering a reusable path for human data utilization along with experimental evidence.","source":{"name":"PsiBot/灵初智能"},"summary":"Lingchu Intelligence released two models, Psi-R2 and Psi-W0, which it calls the industry's first embodied intelligence models pretrained on human data at the 100,000-hour scale.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/exwjvyu3qk0afabl3hafox6ao","name":"RoboHot"},"publishedAt":"2026-04-10T14:04:51.000Z","discoveredAt":"2026-10-12T09:50:37.188Z","originalTitle":null},{"id":"ey93kovhqe4qdjn0vk2pll6r8","links":{"aihot":"https://robohot.news/en/items/ey93kovhqe4qdjn0vk2pll6r8","original":"https://www.figure.ai/news/introducing-index"},"score":62,"title":"Figure AI launches Index app to build large-scale, diverse robot training dataset","reason":"The original article provides scale figures for the Index data pipeline and a five-stage processing workflow, which readers can use to assess the actual progress of its human data collection approach.","source":{"name":"Figure AI"},"summary":"Figure AI announced it is exiting stealth mode and launching the Index app on Google Play and the App Store to collect real-world physical data from Creators worldwide to train its Helix AI system.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/ey93kovhqe4qdjn0vk2pll6r8","name":"RoboHot"},"publishedAt":"2026-08-25T00:00:00.000Z","discoveredAt":"2026-10-12T09:50:03.258Z","originalTitle":null},{"id":"f34jd5xlqb219khnznudwhm4l","links":{"aihot":"https://robohot.news/en/items/f34jd5xlqb219khnznudwhm4l","original":"https://arxiv.org/abs/2610.17350"},"score":78,"title":"Evaluating a Frozen Frontier VLM Directly as a Robot Policy on the RoboMME Memory-Dependent Manipulation Benchmark","reason":"The paper provides complete comparative data on a frozen frontier VLM used directly as a policy on a memory-dependent manipulation benchmark, which can be used to assess how much of the embodied stack a general-purpose model can take over.","source":{"name":"arXiv cs.RO"},"summary":"The study uses a frozen frontier vision-language model, GPT-6-Astra, directly as the robot policy and tests it on RoboMME, a benchmark of 16 memory-dependent manipulation tasks. The model keeps the entire episode context throughout and directly outputs each end-effector waypoint and gripper command, with no training specific to this benchmark.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/f34jd5xlqb219khnznudwhm4l","name":"RoboHot"},"publishedAt":"2026-10-19T04:00:00.000Z","discoveredAt":"2026-10-19T04:52:22.996Z","originalTitle":null},{"id":"f3gt40mqn6akvnbqno1vkf6ru","links":{"aihot":"https://robohot.news/en/items/f3gt40mqn6akvnbqno1vkf6ru","original":"https://mp.weixin.qq.com/s/W5sS-CIe-iOULVczfMiZHQ"},"score":60,"title":"Agile Robots releases full-size industrial-grade humanoid robot Agile ONE","reason":"The original text explains how the humanoid robot fits into the existing full-stack product line, which lets readers judge how its positioning differs from standalone humanoid products.","source":{"name":"线性资本"},"summary":"Agile Robots has officially launched Agile ONE, a full-size industrial-grade humanoid robot built around Physical AI and aimed at human-machine and automation system collaboration in industrial environments.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/f3gt40mqn6akvnbqno1vkf6ru","name":"RoboHot"},"publishedAt":"2025-11-22T03:00:00.000Z","discoveredAt":"2026-10-17T09:14:52.653Z","originalTitle":null},{"id":"f3peg1wp88fpl9jhtirn7r1ch","links":{"aihot":"https://robohot.news/en/items/f3peg1wp88fpl9jhtirn7r1ch","original":"https://mp.weixin.qq.com/s?__biz=Mzk0NDU5NjMwMA==&mid=2247495752&idx=1&sn=97eceb7e4eabf413abddbebb6c31b70c&chksm=c2cd0adbf303cafb98f3623a67fb370e989b4bf13f9f0c0b7d19acc2f732f79cb046826226b8&scene=126&sessionid=1793375407#rd"},"score":78,"title":"AgiBot releases WITA-OMNI interaction model and Lingqu OS 1.0, full open source by year-end","reason":"AgiBot released an interaction model, a native operating system, and an ecosystem plan all at once, giving readers a way to understand its path to opening up its technology foundation and how it accumulates real-world interaction data.","source":{"name":"机器人前瞻 · 微信公众号"},"summary":"At its 2026 Innovation Day, AgiBot released WITA-OMNI, an embodied omni-modal end-to-end interaction large model. It ranked first on four benchmarks: Daily-Omni, TimeLens-Bench, EmbSpatialBench, and MMAU, with an average response time of about 600 milliseconds.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/f3peg1wp88fpl9jhtirn7r1ch","name":"RoboHot"},"publishedAt":"2026-10-30T13:28:51.000Z","discoveredAt":"2026-10-30T15:50:08.649Z","originalTitle":null},{"id":"f5k5ndptanx5umhwtc50wcwvt","links":{"aihot":"https://robohot.news/en/items/f5k5ndptanx5umhwtc50wcwvt","original":"https://www.shlab.org.cn/news/5444301"},"score":71,"title":"2026 Pujiang Innovation Forum AI-Enabled Scientific Research Special Forum Held; Shanghai AI Lab Releases ShuSheng-S2 and ShuSheng World Model W0","reason":"The official report summarizes multiple advances released at the forum, among which the force-touch fusion and robotic arm operation details of the W0 world model may be of reference to readers in the embodied direction.","source":{"name":"Shanghai AI Laboratory - Embodied Intelligence"},"summary":"The 2026 Pujiang Innovation Forum AI-Enabled Scientific Research Special Forum was held on September 13 at the Shanghai Zhangjiang Science Hall, co-hosted by the Fourth Department of the Ministry of Science and Technology and Shanghai AI Lab. During the forum, Shanghai AI Lab launched the ShuSheng Scientific Multimodal Large Model S2 and the ShuSheng Physical World Model W0, opened the full-stack services of the ShuSheng·DuanYan Scientific Discovery Platform, and jointly released 20 major scientific questions with 14 institutions as well as multiple co-construction achievements of the \"Climber Program.\"","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/f5k5ndptanx5umhwtc50wcwvt","name":"RoboHot"},"publishedAt":"2026-09-15T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:16.102Z","originalTitle":null},{"id":"f6f54757908tjgbi4nooxvdva","links":{"aihot":"https://robohot.news/en/items/f6f54757908tjgbi4nooxvdva","original":"https://arxiv.org/abs/2610.28480"},"score":78,"title":"SuperMimic: Scaling Humanoid Whole-Body Control with One Differentiable World Model","reason":"The paper lays out a concrete path for replacing large-scale reinforcement learning training with a single differentiable world model and provides compute comparison data, making it possible to assess its impact on scaling humanoid whole-body control.","source":{"name":"arXiv cs.RO"},"summary":"SuperMimic uses a differentiable world model of shared dynamics to train the world model and the tracking policy together in a single training loop, giving the policy analytic gradients through backpropagation-through-time over short imagined rollouts.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/f6f54757908tjgbi4nooxvdva","name":"RoboHot"},"publishedAt":"2026-10-21T04:00:00.000Z","discoveredAt":"2026-10-21T04:00:40.649Z","originalTitle":null},{"id":"f8p6cka0lgl307ap3yr6kqm6f","links":{"aihot":"https://robohot.news/en/items/f8p6cka0lgl307ap3yr6kqm6f","original":"https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2651071038&idx=1&sn=a899cc4357f9acd5546e6e1682fccb43&chksm=851dd81b38f40009c92aabeae177df7be785a18490a3084fe7d8168ece5b2f9531351b47850f&scene=126&sessionid=1793371799#rd"},"score":76,"title":"PokeBot releases embodied API RoboAPI, world-action model Poke-Aurora debuts","reason":"Readers can learn how a publicly accessible embodied API hands zero-shot generalization capability over to external developers for testing, as well as its success-rate data from its own evaluation.","source":{"name":"机器之心 · 微信公众号"},"summary":"PokeBot released its first model product, RoboAPI, in the early hours of October 30. It is a publicly accessible, out-of-the-box embodied API: after developers connect and adapt a robotic arm, they need neither to collect data nor train models, and can issue commands with a single prompt to execute tasks the model was not specifically trained on.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/f8p6cka0lgl307ap3yr6kqm6f","name":"RoboHot"},"publishedAt":"2026-10-30T01:31:15.000Z","discoveredAt":"2026-10-30T14:49:58.961Z","originalTitle":null},{"id":"f93qokhi4m1ql1zuq2mt66nv5","links":{"aihot":"https://robohot.news/en/items/f93qokhi4m1ql1zuq2mt66nv5","original":"https://www.wandercraft.eu/articles/wandercraft-launches-pivotal-clinical-trial-of-its-groundbreaking-personal-exoskeleton"},"score":61,"title":"Wandercraft Personal Exoskeleton Launches Pivotal Clinical Trial","reason":"The original article provides the clinical trial location, enrollment criteria, and contact information, offering insight into a key milestone as this exoskeleton moves toward personal use.","source":{"name":"Wandercraft"},"summary":"Wandercraft announced the launch of a pivotal clinical trial for its Personal Exoskeleton, evaluating the safety and effectiveness of this self-balancing personal exoskeleton in improving walking independence for patients with spinal cord injury (SCI).","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/f93qokhi4m1ql1zuq2mt66nv5","name":"RoboHot"},"publishedAt":"2025-02-03T16:00:00.000Z","discoveredAt":"2026-10-12T11:51:36.759Z","originalTitle":null},{"id":"fb60b7s19mppw7uglnkfpt8gl","links":{"aihot":"https://robohot.news/en/items/fb60b7s19mppw7uglnkfpt8gl","original":"https://www.pi.website/research/memory"},"score":78,"title":"Physical Intelligence proposes MEM, enabling π0.6's VLA to remember long-horizon tasks of up to 15 minutes","reason":"The article identifies memory mechanisms as the bottleneck for long-horizon tasks and presents a dual-scale design that stores video for the short term and language for the long term, an approach that can be transferred to other work.","source":{"name":"Physical Intelligence"},"summary":"Physical Intelligence proposed a method called Multi-scale Embodied Memory (MEM) that provides vision-language-action models (VLAs) with both short-term and long-term memory, enabling the model to complete tasks lasting up to 15 minutes, such as cleaning an entire kitchen or making a grilled cheese sandwich from scratch.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/fb60b7s19mppw7uglnkfpt8gl","name":"RoboHot"},"publishedAt":"2026-03-02T16:00:00.000Z","discoveredAt":"2026-10-17T05:15:44.246Z","originalTitle":null},{"id":"fcbr2pa70c9p91cdn2aesl3t6","links":{"aihot":"https://robohot.news/en/items/fcbr2pa70c9p91cdn2aesl3t6","original":"https://www.pi.website/blog/partner"},"score":74,"title":"Physical Intelligence proposes a physical intelligence layer and publishes π 0.6 deployment data from Weave and Ultra","reason":"The two deployers provided comparative data on autonomy rates, missed grasps, and throughput, making it easier to judge the practical gains that foundation model iterations bring in real-world settings.","source":{"name":"Physical Intelligence"},"summary":"In a blog post, Physical Intelligence argues that robots need a reusable physical intelligence layer, and it published real-world deployment data from partners Weave and Ultra using π 0.6.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/fcbr2pa70c9p91cdn2aesl3t6","name":"RoboHot"},"publishedAt":"2026-02-23T16:00:00.000Z","discoveredAt":"2026-10-17T05:15:44.255Z","originalTitle":null},{"id":"fn6u8eqqcklg5w85gprgc2n0t","links":{"aihot":"https://robohot.news/en/items/fn6u8eqqcklg5w85gprgc2n0t","original":"https://arxiv.org/abs/2609.15213"},"score":78,"title":"X-WBC: A Cross-Embodiment Foundation Model for Humanoid Whole-Body Control","reason":"The paper proposes a cross-embodiment humanoid whole-body control framework that decouples shared human motion semantics from each embodiment's execution, and validates joint training on nine simulated embodiments and four real robots.","source":{"name":"arXiv cs.RO"},"summary":"X-WBC is a cross-embodiment humanoid whole-body control foundation framework that separates relatively shared human motion semantics from embodiment-specific physical execution. It uses human-centered command tokens to align full human motion, robot reference motion, and sparse VR observations; a causal Transformer learns reusable temporal structure from mixed multi-robot rollouts, and lightweight robot-specific modules map the shared representation to each robot's proprioception and action space.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/fn6u8eqqcklg5w85gprgc2n0t","name":"RoboHot"},"publishedAt":"2026-10-27T04:00:00.000Z","discoveredAt":"2026-10-27T04:01:25.957Z","originalTitle":null},{"id":"fr24y6sbzamm569u97g5tkkv5","links":{"aihot":"https://robohot.news/en/items/fr24y6sbzamm569u97g5tkkv5","original":"https://mp.weixin.qq.com/s?__biz=MzA3NDA4NzIwNA==&mid=2247490913&idx=1&sn=7923fdbb56289a6e7041a59c3e8d2afc&chksm=9eceb8ed94cceab9ed273728a5b644a2ed42e2f23ab896a47c1cd2cddac50fb6b2ad7169d0a3&scene=126&sessionid=1793287602#rd"},"score":78,"title":"Zhiyuan's Peng Zhihui: First-Half Revenue Near 2 Billion Yuan, 9,700 Humanoid Robots Shipped for Over 43% Global Share","reason":"Zhiyuan disclosed first-half shipments of 9,700 units and revenue near 2 billion yuan, and introduced a new metric measuring commercialization by effective intelligent work hours, offering a way to track the pace at which humanoid robots move from demonstrations to delivery.","source":{"name":"未来机器人网 · 微信公众号"},"summary":"Peng Zhihui, co-founder, president, and CTO of Zhiyuan Robotics, disclosed at the 2026 Zhiyuan Innovation Day that in the first half of 2026 Zhiyuan shipped 9,700 humanoid robots, accounting for more than 43% of the global humanoid robot market, with revenue for the period approaching 2 billion yuan; as of September, cumulative output of general-purpose embodied robots surpassed 20,000 units.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/fr24y6sbzamm569u97g5tkkv5","name":"RoboHot"},"publishedAt":"2026-10-29T12:19:30.000Z","discoveredAt":"2026-10-29T15:26:57.573Z","originalTitle":null},{"id":"fvs185c17kxb629krp529twkp","links":{"aihot":"https://robohot.news/en/items/fvs185c17kxb629krp529twkp","original":"https://www.realsenseai.com/news-insights/extending-stereo-depth-to-2-cm-with-min-z/"},"score":65,"title":"RealSense Perception Studio Min-Z extends stereo depth near-field range to about 2 cm","reason":"The original explains how Min-Z extends the near-field usable range of stereo depth and the trade-offs between two deployment paths, which can be used to evaluate grasping and close-range perception solutions.","source":{"name":"RealSense"},"summary":"RealSense has introduced Min-Z, an improved close-range depth feature in Perception Studio that extends usable stereo depth to about 2 cm on D401/D405 and about 12 cm on D43x/D45x without changing cameras.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/fvs185c17kxb629krp529twkp","name":"RoboHot"},"publishedAt":"2026-09-15T15:38:18.000Z","discoveredAt":"2026-10-17T05:11:57.272Z","originalTitle":null},{"id":"fzidohue4lzk5sb2awicte0kv","links":{"aihot":"https://robohot.news/en/items/fzidohue4lzk5sb2awicte0kv","original":"https://huggingface.co/papers/2610.36791"},"score":78,"title":"RynnWorld-Latent: A Cross-Embodiment World Model Conditioned on Universal Latent Actions","reason":"This work proposes using universal latent actions as a shared cross-embodiment conditioning interface, allowing human videos, robot demonstrations, and simulation data to jointly pretrain a world model.","source":{"name":"HuggingFace Daily Papers"},"summary":"The research team proposes RynnWorld-Latent, a cross-embodiment video world model that uses the 3D-grounded latent actions of RynnLAM as a shared conditioning interface, enabling joint pretraining on human interaction videos, robot demonstrations, and simulation data.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/fzidohue4lzk5sb2awicte0kv","name":"RoboHot"},"publishedAt":"2026-10-27T00:00:00.000Z","discoveredAt":"2026-10-28T06:53:30.982Z","originalTitle":null},{"id":"g2r1dug5npwyr2wazfcp3lo0q","links":{"aihot":"https://robohot.news/en/items/g2r1dug5npwyr2wazfcp3lo0q","original":"https://www.rokae.com/cn/news/show/2560/%E6%9C%BA%E5%99%A8%E4%BA%BA%E9%80%A0%E6%9C%BA%E5%99%A8%E4%BA%BA%E9%83%A8%E4%BB%B6%EF%BC%81%E7%8F%9E%E7%9F%B3%E8%BD%AE%E5%BC%8F%E4%BA%BA%E5%BD%A2%E6%9C%BA%E5%99%A8%E4%BA%BA%E5%85%A5%E9%A9%BB%E8%88%8D%E5%BC%97%E5%8B%92%E5%85%B7%E8%BA%AB%E6%99%BA%E8%83%BD%E6%95%B0%E6%99%BA%E5%B7%A5%E5%8E%82.html"},"score":70,"title":"ROKAE Zhuxing H wheeled humanoid robots enter Schaeffler Taicang embodied intelligence digital factory production line","reason":"The original text provides the specific processes and technical configuration of complete machines entering a mass-production line, helping readers judge the current usable boundaries of wheeled humanoid robots in real manufacturing scenarios.","source":{"name":"珞石机器人"},"summary":"On October 20, Schaeffler's Taicang embodied intelligence robot digital factory opened, with 5 ROKAE Zhuxing H series wheeled humanoid robots participating in the intelligent assembly line for tasks including bin handling, parts sorting, press-fitting and screw assembly, functional testing, marking and packaging, producing joint module components including actuators for next-generation humanoid robots.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/g2r1dug5npwyr2wazfcp3lo0q","name":"RoboHot"},"publishedAt":"2026-10-22T16:00:00.000Z","discoveredAt":"2026-10-23T03:16:18.514Z","originalTitle":null},{"id":"g3mvre269769yyzzmi2zo9ifz","links":{"aihot":"https://robohot.news/en/items/g3mvre269769yyzzmi2zo9ifz","original":"https://mp.weixin.qq.com/s?__biz=MzE5MTY1OTQ2NQ==&mid=2247483981&idx=1&sn=9bc597aa1242ad6a039eafa2c2289ba1&chksm=9735065e958540eb7ca89637ca7c85b02405df5e2b69371b36aff80cbe576fa6734b8ec36ff0&scene=126&sessionid=1792431035#rd"},"score":75,"title":"RoboParty Lab Established, Open-Sources Three Humanoid Robot Toolchains for Training, Control, and Data","reason":"The three toolchains provide specific figures on training compute, time required, and the policies already integrated, which readers can use to assess their reuse value in their own R&D workflows.","source":{"name":"RoboParty · 微信公众号（Roboparty萝博派对）"},"summary":"RoboParty announced the establishment of RoboParty Lab and open-sourced three humanoid robot toolchains: the supervised learning training framework MimicLite, the unsupervised reinforcement learning control framework UFO, and the motion retargeting tool hhtools.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/g3mvre269769yyzzmi2zo9ifz","name":"RoboHot"},"publishedAt":"2026-07-14T05:01:27.000Z","discoveredAt":"2026-10-19T17:32:05.657Z","originalTitle":null},{"id":"g4zzcgl4s4m3dy3hpwpmrd06w","links":{"aihot":"https://robohot.news/en/items/g4zzcgl4s4m3dy3hpwpmrd06w","original":"https://www.dmrobot.com/news/218.html"},"score":72,"title":"Daimon Robotics completes hundreds of millions in strategic financing, led by Ant Group","reason":"Beyond the funding news, the original article also details the architecture and data-collection layout of the tactile world model Daimon-TWM, which helps in understanding the technical proposition of the tactile approach.","source":{"name":"戴盟机器人"},"summary":"Daimon Robotics announced the completion of a strategic funding round of hundreds of millions, led by Ant Group with existing shareholders oversubscribing, just two months after its hundred-million-yuan Series A. The company also launched its tactile-anchored world model Daimon-TWM, with parameter scale at the 10B level, capable of real-time inference on the NVIDIA RTX 5090 platform, and claims that its average success rate on contact-intensive manipulation tasks is twice that of π0.5. Daimon has also built the tactile full-modality dataset Daimon-Infinity; after the first 10,000 hours of data were open-sourced, it received nearly 5 million downloads on the ModelScope community.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/g4zzcgl4s4m3dy3hpwpmrd06w","name":"RoboHot"},"publishedAt":"2026-10-28T16:00:00.000Z","discoveredAt":"2026-10-29T12:47:18.573Z","originalTitle":null},{"id":"g57wrow4r0ak5xpg810fsn9ja","links":{"aihot":"https://robohot.news/en/items/g57wrow4r0ak5xpg810fsn9ja","original":"https://www.1x.tech/discover/neo-factory"},"score":61,"title":"1X's NEO factory in California begins production, targeting 10,000 humanoid robots per year","reason":"1X itself disclosed the factory's capacity, in-house production of core components, and delivery schedule, so readers can use this to check how the company's NEO mass-production and shipping commitments are progressing.","source":{"name":"1X Technologies"},"summary":"1X announced that its NEO Factory in Hayward, California, is now fully operational, spanning about 58,000 square feet with more than 200 employees. It is the first vertically integrated high-volume humanoid robot factory in the United States, with capacity to produce 10,000 NEO units per year.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/g57wrow4r0ak5xpg810fsn9ja","name":"RoboHot"},"publishedAt":"2026-04-30T17:39:00.000Z","discoveredAt":"2026-10-12T09:50:43.657Z","originalTitle":null},{"id":"g61hyxuxnsc2raw25ddygp5hh","links":{"aihot":"https://robohot.news/en/items/g61hyxuxnsc2raw25ddygp5hh","original":"https://www.rimocap.com/126.html"},"score":64,"title":"Mech-Mind Lists on HKEX, Becoming the First Embodied-Intelligence Eye-Brain-Hand Stock","reason":"Providing key figures such as the issue price, fundraising size, and the proportion allocated to fundraising projects would help assess the capitalization path and R&D investment direction of this eye-brain-hand component supplier.","source":{"name":"上河动量"},"summary":"Shanghe Dongliang posted congratulations to its portfolio company Mech-Mind (Xiongan) Robotics Technology Co., Ltd., which officially listed on the Hong Kong Stock Exchange on September 1, 2026, under stock code 09615.HK, and is called the first embodied-intelligence eye-brain-hand stock.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/g61hyxuxnsc2raw25ddygp5hh","name":"RoboHot"},"publishedAt":"2026-09-02T00:00:00.000Z","discoveredAt":"2026-10-17T05:12:52.920Z","originalTitle":null},{"id":"gk9044wqgi06l9kxqijvhgtsk","links":{"aihot":"https://robohot.news/en/items/gk9044wqgi06l9kxqijvhgtsk","original":"https://www.youtube.com/watch?v=fz39QZdTO3Y"},"score":69,"title":"LingBot-VLA 2.0 open-sourced: supports 20 robot configurations and full-body control","reason":"The public weights and GM-100 results let readers directly compare its gap with π0.5 and GR00T N1.7 on long-horizon mobile manipulation.","source":{"name":"蚂蚁灵波科技 · YouTube"},"summary":"LingBot-VLA 2.0 has been open-sourced. It is a next-generation embodied foundation model pretrained on 60,000 hours of real-world physical data, built on a redesigned data processing pipeline curated from 90,000 hours of robotic data and 20,000 hours of egocentric human videos.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/gk9044wqgi06l9kxqijvhgtsk","name":"RoboHot"},"publishedAt":"2026-07-07T19:39:12.000Z","discoveredAt":"2026-10-17T09:10:30.632Z","originalTitle":null},{"id":"gnfbi9t7hmfysll5er27iwbey","links":{"aihot":"https://robohot.news/en/items/gnfbi9t7hmfysll5er27iwbey","original":"https://www.livoxtech.com/news/1"},"score":65,"title":"Livox launches three LiDAR sensors, including the $599 Mid-40 and Mid-100","reason":"The original article provides pricing, production scale, and key performance parameters, which readers can use to assess the impact on LiDAR selection in robotics and autonomous driving.","source":{"name":"Livox"},"summary":"Livox has launched three LiDAR sensors: the Mid-40/Mid-100, Horizon, and Tele-15. The Mid-40 is priced at $599 and the Mid-100 at $1,499, and they are on sale now through the DJI online store in the EU, US, Canada, Australia, and Japan.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/gnfbi9t7hmfysll5er27iwbey","name":"RoboHot"},"publishedAt":"2019-06-12T16:00:00.000Z","discoveredAt":"2026-10-17T09:12:34.434Z","originalTitle":null},{"id":"go9wit38fki6hm6i1zs8mpjzb","links":{"aihot":"https://robohot.news/en/items/go9wit38fki6hm6i1zs8mpjzb","original":"https://arxiv.org/abs/2606.09314"},"score":64,"title":"KPGrasp: A Scalable Keypoint Flow Matching Method for Dexterous Grasp Generation","reason":"The paper presents a new contact-loss-free grasp generation method and specific results on two benchmarks, letting readers compare it with existing methods and assess its approach.","source":{"name":"PKU EPIC Lab"},"summary":"PKU EPIC Lab proposes KPGrasp, a dexterous grasp generation method that combines an all-Euclidean 3D hand-keypoint parameterization with a Transformer flow-matching model to learn grasp priors from large-scale data, without contact losses or contact-based test-time optimization.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/go9wit38fki6hm6i1zs8mpjzb","name":"RoboHot"},"publishedAt":"2026-06-08T10:19:29.000Z","discoveredAt":"2026-10-12T09:50:33.757Z","originalTitle":null},{"id":"grkk07nxuvbgip9acu3lv60hj","links":{"aihot":"https://robohot.news/en/items/grkk07nxuvbgip9acu3lv60hj","original":"https://www.legendcapital.com.cn/d/news/101.html"},"score":62,"title":"Legend Capital portfolio company UDI Robot lists on Hong Kong Stock Exchange (03231.HK)","reason":"The original article provides UDI Robot's market share, patent count, and technology framework, which can help readers assess the capitalization progress and competitive landscape of the commercial service robot sector.","source":{"name":"君联资本"},"summary":"On September 9, UDI Robot (03231.HK), a commercial service robot company backed by Legend Capital, successfully listed on the Hong Kong Stock Exchange. According to a Frost & Sullivan report, based on 2025 revenue, UDI Robot is the third-largest supplier in China's commercial service robot products and solutions market, with a market share of 8.9%, and its business covers more than 20 countries and regions worldwide.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/grkk07nxuvbgip9acu3lv60hj","name":"RoboHot"},"publishedAt":"2026-09-08T16:00:00.000Z","discoveredAt":"2026-10-17T05:13:47.281Z","originalTitle":null},{"id":"guqg09fn7dhm4j3s9yn09d5yq","links":{"aihot":"https://robohot.news/en/items/guqg09fn7dhm4j3s9yn09d5yq","original":"https://www.lavenderhillcapital.com/post/westwell-deploys-second-batch-of-q-trucks-at-port-of-felixstowe-uk-s-largest-container-port"},"score":67,"title":"Westwell delivers third batch of autonomous trucks to Port of Felixstowe, fleet grows to 100 units","reason":"This order moves autonomous trucks from pilot projects to normalized mixed-traffic operations at the hundred-unit level, and the accompanying battery-swapping and private-network solutions offer useful reference value for port deployments.","source":{"name":"Lavender Hill Capital Partners"},"summary":"Hutchison Ports Port of Felixstowe has confirmed a third batch order for autonomous trucks from Shanghai's Westwell Technology, increasing its fleet to 100 units and continuing the earlier deployment of autonomous trucks in mixed-traffic container terminal operations (which the port says is the first of its kind in Europe).","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/guqg09fn7dhm4j3s9yn09d5yq","name":"RoboHot"},"publishedAt":"2026-07-06T09:58:57.000Z","discoveredAt":"2026-10-17T05:11:50.511Z","originalTitle":null},{"id":"gy95ty32ul7zzpndp8cicwzve","links":{"aihot":"https://robohot.news/en/items/gy95ty32ul7zzpndp8cicwzve","original":"https://www.zeroth0.com/blogs/news/suzhou-joyin-technology-co-the-pioneer-of-consumer-grade-embodied-intelligence-5"},"score":61,"title":"Zeroth Completes Three Angel Rounds in Under a Year, Raising Over $70 Million at a $351 Million Valuation","reason":"The original article provides details on the investors and amounts for the three funding rounds, allowing readers to understand this robotics company's capital structure and shareholder composition.","source":{"name":"Zeroth/元点智能"},"summary":"Zeroth announced it has completed three angel rounds, raising over $70 million in total at a valuation of $351 million, less than a year after its founding.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/gy95ty32ul7zzpndp8cicwzve","name":"RoboHot"},"publishedAt":"2025-10-25T13:23:00.000Z","discoveredAt":"2026-10-12T09:50:40.608Z","originalTitle":null},{"id":"gysodiwaru5i3umczb03fqyyz","links":{"aihot":"https://robohot.news/en/items/gysodiwaru5i3umczb03fqyyz","original":"https://mp.weixin.qq.com/s/iKIE51QNpWUFa5YYwD7jCg"},"score":72,"title":"Tashi Intelligence completes $455 million Pre-A round, with Linear Capital investing for a third consecutive round","reason":"It lays out the multi-layered investment structure behind this oversubscribed round, helping readers understand where capital is currently concentrating in the embodied intelligence sector.","source":{"name":"线性资本"},"summary":"Embodied intelligence company Tashi Intelligence announced the completion of a $455 million Pre-A funding round, setting the record for the largest single round and the largest Pre-A round in China's embodied intelligence sector to date. Hillhouse Ventures and Sequoia China co-led the round; Meituan Strategic Investment, as a cornerstone strategic shareholder, made a substantial additional investment and continued to co-lead; Meituan Dragon Ball, CICC Capital and others participated; existing shareholders including Qiming Venture Partners, Linear Capital and BlueRun Ventures made strategic additional investments; and the Beijing Robotics Industry Development Investment Fund and Shanghai Guotou Xiandao jointly invested in an embodied intelligence company for the first time.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/gysodiwaru5i3umczb03fqyyz","name":"RoboHot"},"publishedAt":"2026-04-16T03:01:26.000Z","discoveredAt":"2026-10-17T09:14:52.396Z","originalTitle":null},{"id":"h0g7q5hwrpxkfgv3tjtxmlbji","links":{"aihot":"https://robohot.news/en/items/h0g7q5hwrpxkfgv3tjtxmlbji","original":"https://github.com/google-deepmind/mujoco/releases/tag/3.16.0"},"score":78,"title":"MuJoCo 3.16.0 released: adds compile-time frame scaling, Bazel build, and multiple breaking API changes","reason":"This release makes compile-time scaling and save round-trip consistency explicit capabilities, so you don't have to worry about losing original editing information when changing model specifications.","source":{"name":"GitHub Robotics Topic"},"summary":"MuJoCo 3.16.0 was released on October 14, 2026. Frames gain scale, scaling, and massscale attributes that can scale their contents at compile time without modifying mjSpec. New savecompiled and savecanonical compile attributes preserve the original modeling style, and the core library, simulate, plugins, and examples can now be built with Bazel.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/h0g7q5hwrpxkfgv3tjtxmlbji","name":"RoboHot"},"publishedAt":"2026-10-14T09:29:02.000Z","discoveredAt":"2026-10-16T23:10:27.039Z","originalTitle":null},{"id":"h0nfu7h4vk6x7453yy2prvr8g","links":{"aihot":"https://robohot.news/en/items/h0nfu7h4vk6x7453yy2prvr8g","original":"https://mp.weixin.qq.com/s?__biz=MzkyMTc1NTI3Ng==&mid=2247509204&idx=1&sn=cec202dc5b9de8a5e65a5fa4271d1676&chksm=c033b7078b15439cb5e5b316cf8d384763ceca24da785cc1783c860f4b2105858389b639c4ef&scene=126&sessionid=1792413747#rd"},"score":76,"title":"SenseTime launches SenseNova-RoboRSI and a 27B embodied model, achieving SOTA on 12 simulation benchmarks","reason":"Through comparison data from the same model with different execution systems, readers can intuitively understand the magnitude of the execution framework's impact on embodied task performance and its cost.","source":{"name":"Xbotics具身智能实验室 · 微信公众号"},"summary":"The SenseTime SenseNova team launched the SenseNova-RoboRSI unified execution framework and the 27B embodied model SenseNova-RoboRSI-27B-Preview.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/h0nfu7h4vk6x7453yy2prvr8g","name":"RoboHot"},"publishedAt":"2026-10-19T09:00:00.000Z","discoveredAt":"2026-10-19T12:42:24.717Z","originalTitle":null},{"id":"h23x8dv09k88n90yly3mv2p9h","links":{"aihot":"https://robohot.news/en/items/h23x8dv09k88n90yly3mv2p9h","original":"https://mp.weixin.qq.com/s/lc2YPJq8jJewY-Zns1EoTQ"},"score":60,"title":"Puhua Capital leads Xinjie Energy's over $100 million Series B financing for lithium-metal solid-state battery mass production","reason":"The financing and production line plans disclose the delivery pace of lithium-metal solid-state batteries in drones, eVTOL, and embodied robots, which can be compared against their energy density and endurance data to assess supply progress.","source":{"name":"普华资本"},"summary":"Xinjie Energy announced the completion of over $100 million in Series B financing, led by Puhua Capital. The funds will be used for mass production and delivery of lithium-metal solid-state batteries, expansion of the R&D team, and a new 3GWh high-energy, high-safety solid-state battery mass production line. The new line is expected to gradually begin production between late 2026 and early 2027.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/h23x8dv09k88n90yly3mv2p9h","name":"RoboHot"},"publishedAt":"2026-08-14T01:59:34.000Z","discoveredAt":"2026-10-26T02:28:29.526Z","originalTitle":null},{"id":"h61d7gqrfgapmen8quwi2huq0","links":{"aihot":"https://robohot.news/en/items/h61d7gqrfgapmen8quwi2huq0","original":"https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2651071154&idx=1&sn=fc8decaaf9bc54e43d1721d8c2c16a77&chksm=85600df7d335cd2bf66d0991abacce002a55c04a7fd313e4169a226e238922442501464b6c38&scene=126&sessionid=1793371799#rd"},"score":84,"title":"Qiyuan releases PrimeSim world-model simulator, tops EWMBench and WorldSimProbe","reason":"The original text provides the two-stage training recipe and results across multiple leaderboards, which readers can use to judge the feasibility of adapting video generation models into simulators.","source":{"name":"机器之心 · 微信公众号"},"summary":"The Qiyuan Embodied Research Center has released PrimeSim, a world-model simulator for robot manipulation tasks, built by adapting a pretrained video generation model through mid-training and post-training stages. It ranks first on EWMBench with an overall score of 6.09, and took first place in three of five WorldSimProbe evaluations: global trajectory coverage, action-source behavior preservation, and interaction dynamics.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/h61d7gqrfgapmen8quwi2huq0","name":"RoboHot"},"publishedAt":"2026-10-30T10:33:40.000Z","discoveredAt":"2026-10-30T14:49:58.961Z","originalTitle":null},{"id":"h6gwx4a36wfxxdx94zwpbnh2v","links":{"aihot":"https://robohot.news/en/items/h6gwx4a36wfxxdx94zwpbnh2v","original":"https://www.1x.tech/discover/1x-world-model-lab"},"score":61,"title":"1X Establishes World Model Lab, Sam Sinha Appointed Head of World Models","reason":"1X officially outlined the World Model Lab's data approach and its full-stack in-house development stance, giving readers insight into its technical path toward autonomous humanoids.","source":{"name":"1X Technologies"},"summary":"1X announced the formal establishment of the 1X World Model Lab, focused on large-scale pretraining of embodied world models, with the goal of accelerating the realization of fully autonomous humanoid robots. Sam Sinha, formerly a founding research scientist at Luma AI, has joined as Founding AI Researcher and Head of World Models.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/h6gwx4a36wfxxdx94zwpbnh2v","name":"RoboHot"},"publishedAt":"2026-06-04T14:10:00.000Z","discoveredAt":"2026-10-12T09:50:43.641Z","originalTitle":null},{"id":"hc4nt6buvqz96nh2c5mreysol","links":{"aihot":"https://robohot.news/en/items/hc4nt6buvqz96nh2c5mreysol","original":"https://www.figure.ai/news/production-at-bmw"},"score":78,"title":"Figure 02 completes 11-month run at BMW Spartanburg plant, contributing to over 30,000 X3 vehicles, officially begins retirement","reason":"The manufacturer disclosed specific KPIs and hardware failure improvements from the 11-month production line deployment, allowing readers to understand the actual operating conditions of humanoid robots on automotive production lines.","source":{"name":"Figure AI"},"summary":"Figure AI released results from Figure 02's 11-month deployment at BMW Group Plant Spartanburg: it ran 10-hour shifts each workday, loaded over 90,000 sheet metal parts, accumulated over 1,250 operating hours, contributed to the production of over 30,000 X3 vehicles, and the robot walked about 1.2 million steps, totaling over 200 miles.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/hc4nt6buvqz96nh2c5mreysol","name":"RoboHot"},"publishedAt":"2025-11-19T00:00:00.000Z","discoveredAt":"2026-10-12T11:50:34.682Z","originalTitle":null},{"id":"hkvoklqmjfutpan98u4c82cp6","links":{"aihot":"https://robohot.news/en/items/hkvoklqmjfutpan98u4c82cp6","original":"https://www.skydio.com/blog/ascend-2026-f10-lightrunner-megadock-commands"},"score":69,"title":"Skydio launches its first fixed-wing drone, F10 Lightrunner, along with MegaDock hangar and two command software platforms","reason":"The same autonomy engine is being extended to a fixed-wing form factor for the first time, together with a hangar and command software, which lets readers assess its path toward fleet-scale operations and workflow integration.","source":{"name":"Skydio"},"summary":"At Ascend 2026, Skydio launched its first fixed-wing drone, F10 Lightrunner, the accompanying MegaDock hangar, the Controller 2 remote controller, and two software platforms, Asset Command and Security Command.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/hkvoklqmjfutpan98u4c82cp6","name":"RoboHot"},"publishedAt":"2026-09-24T07:01:00.000Z","discoveredAt":"2026-10-17T05:08:36.475Z","originalTitle":null},{"id":"hlu1gu7cn3yfg5d8wf0dgb1ir","links":{"aihot":"https://robohot.news/en/items/hlu1gu7cn3yfg5d8wf0dgb1ir","original":"https://persona.ai/news/ieee-spectrum-features-persona-ai-amid-fcc-mobile-robot-ruling/"},"score":70,"title":"FCC Adds Foreign-Made Mobile Robots to Covered List; Persona AI Explains Impact on US Enterprise Customers","reason":"The original article outlines the scope, exemptions, and application deadlines of the FCC restrictions on new foreign mobile robots, helping readers judge their practical impact on procurement and supply chains.","source":{"name":"Persona AI"},"summary":"In July 2026, the FCC added foreign-produced advanced robotic equipment to the Covered List, covering ground mobile robots weighing about 4.4 pounds or more that can sense their environment and connect wirelessly, including humanoid, quadruped, and wheeled platforms; drones, connected cars, and medical devices are exempt, and the restrictions apply only to new products.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/hlu1gu7cn3yfg5d8wf0dgb1ir","name":"RoboHot"},"publishedAt":"2026-08-04T19:27:42.000Z","discoveredAt":"2026-10-12T09:51:33.689Z","originalTitle":null},{"id":"hssitmh9q3pbctzxghnozm7gf","links":{"aihot":"https://robohot.news/en/items/hssitmh9q3pbctzxghnozm7gf","original":"https://mp.weixin.qq.com/s?__biz=MzkzOTc1NjE3Nw==&mid=2247485986&idx=1&sn=a77cae92e1f643a570b0ef90810a26f0&chksm=c341463f4be82a681637e8a04b6fdf5feccbf4ea5fb0077303a2db47a5699b51d035be21ef22&scene=126&sessionid=1792687143#rd"},"score":75,"title":"X Square Robot releases WALL-SS next-scale autoregressive world model","reason":"The source gives three quantitative metrics and the architecture design, which readers can use to assess how feasible the world model is as a policy testbed.","source":{"name":"自变量机器人 · 微信公众号"},"summary":"X Square Robot has released WALL-SS, a next-scale autoregressive world model that uses a coarse-to-fine, layer-by-layer refinement generation architecture, breaking away from the traditional diffusion-model approach of generating video in a single segment. In testing, its action-following score was 0.29, the only nonzero score among the compared models; the overlap between generated trajectories and action instructions rose from 0.251 to 0.539; streaming inference can reach 60 seconds of footage without collapse; and in closed-loop policy consistency tests across 6 tasks and 5 training stages, the success-rate agreement between virtual and real-world tasks reached 93%.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/hssitmh9q3pbctzxghnozm7gf","name":"RoboHot"},"publishedAt":"2026-08-27T07:59:20.000Z","discoveredAt":"2026-10-22T16:39:08.554Z","originalTitle":null},{"id":"htd5fiwsn97ivaw01xbz674dq","links":{"aihot":"https://robohot.news/en/items/htd5fiwsn97ivaw01xbz674dq","original":"https://mp.weixin.qq.com/s/yMm_SZA_CqXuQf4z-__23w"},"score":62,"title":"Boundless Dynamics completes over 200 million yuan Angel+ round, third round nearing completion","reason":"The original article disclosed the funding scale, technology roadmap, and deployment stage, allowing readers to judge this embodied intelligence company's commercialization progress and R&D direction.","source":{"name":"普华资本"},"summary":"General-purpose embodied intelligence robotics company Boundless Dynamics announced the completion of an over 200 million yuan Angel+ funding round, jointly invested by Puhua Capital, Shenzhen Capital Group, Innovation Works, Junshan Capital, and Yari Capital, with existing shareholders Sequoia China, Linear Capital, and Hillhouse Venture Capital increasing their investments. The third round of financing is nearing completion, and cumulative funding will reach 800 million yuan.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/htd5fiwsn97ivaw01xbz674dq","name":"RoboHot"},"publishedAt":"2026-02-25T03:59:11.000Z","discoveredAt":"2026-10-17T09:14:50.184Z","originalTitle":null},{"id":"hzd4ncoz590pwxsn3owxhcuyf","links":{"aihot":"https://robohot.news/en/items/hzd4ncoz590pwxsn3owxhcuyf","original":"https://mp.weixin.qq.com/s?__biz=MzU3MjQ2MDcwNQ==&mid=2247780543&idx=3&sn=f84e22c458b267080797763263e4f632&chksm=fddc43ce2d2515410a36255effbde7a7dd788878ec3b82f1fda26771432226e0528bc5ad9790&scene=126&sessionid=1792319780#rd"},"score":72,"title":"Hui Ling Technology releases 20-DOF dexterous hand eHand-20, priced at 9,999 yuan","reason":"The original article uses a unit-price comparison to show that degrees of freedom increased while the price per degree remained unchanged, allowing readers to understand the change in the cost logic of high-DOF dexterous hands.","source":{"name":"深圳市机器人协会 · 微信公众号"},"summary":"Hui Ling Technology officially released the eHand-20 dexterous hand at the 2026 China International Industry Fair, priced at 9,999 yuan. The product is a direct-drive design with 20 fully active degrees of freedom and 4 joints per finger across five fingers. The entire hand weighs 650 grams and measures 196×87×40 mm. Compared with the previous-generation 6-DOF eHand-6, degrees of freedom are increased 3.3 times, while the unit price remains unchanged at about 500 yuan per degree of freedom.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/hzd4ncoz590pwxsn3owxhcuyf","name":"RoboHot"},"publishedAt":"2026-10-14T11:25:52.000Z","discoveredAt":"2026-10-18T10:36:30.687Z","originalTitle":null},{"id":"i8fjkgaip682bp353rplqgqvw","links":{"aihot":"https://robohot.news/en/items/i8fjkgaip682bp353rplqgqvw","original":"https://thehumanoid.ai/humanoid-raises-152-million-at-1-35-billion-post-money-valuation-becoming-europes-first-pure-play-humanoid-robotics-unicorn/"},"score":68,"title":"Humanoid closes $152 million Series A, reaching a $1.35 billion post-money valuation as Europe's first pure-play humanoid robotics unicorn","reason":"The use of funds corroborates the Schaeffler order and the Bosch manufacturing arrangement, which together can be used to gauge the pace of its mass production and factory deployment.","source":{"name":"HUMANOID"},"summary":"Humanoid announced the close of a $152 million Series A at a $1.35 billion post-money valuation, bringing its total funding since founding to $270 million. The round was led by Prime Movers Lab, with participation from Schaeffler, Bosch, Fubon Financial Holding Venture Capital, and Aglaé Ventures.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/i8fjkgaip682bp353rplqgqvw","name":"RoboHot"},"publishedAt":"2026-07-21T13:20:47.000Z","discoveredAt":"2026-10-17T05:07:56.349Z","originalTitle":null},{"id":"i9o6r1ncxmudhj4xt5v246bki","links":{"aihot":"https://robohot.news/en/items/i9o6r1ncxmudhj4xt5v246bki","original":"https://mp.weixin.qq.com/s/MxnRqEtLS9M-mMdKvsLG6A"},"score":62,"title":"Bot Auto's Hou Xiaodi on the First Fully Driverless Truck Order and Commercialization Standards for Autonomous Driving","reason":"The interview systematically lays out a commercialization judgment framework centered on CPM, which can be used to understand the differences between L4 companies and L2+ companies on metrics and issues.","source":{"name":"线性资本"},"summary":"Linear Capital shared an interview with Bot Auto founder Hou Xiaodi on Zhijian autoweek, in which he said that on April 30, the day before Musk announced the production version of the SemiTruck had rolled off the line, Bot Auto completed the first fully driverless autonomous truck commercial order in the United States, with no safety driver and no real-time remote human backup.","category":"opinion","selected":true,"attribution":{"url":"https://robohot.news/en/items/i9o6r1ncxmudhj4xt5v246bki","name":"RoboHot"},"publishedAt":"2026-05-13T04:29:07.000Z","discoveredAt":"2026-10-17T09:14:52.364Z","originalTitle":null},{"id":"id4yziz03p948ugbycvg1md8v","links":{"aihot":"https://robohot.news/en/items/id4yziz03p948ugbycvg1md8v","original":"https://www.df-global.cn/news/49"},"score":65,"title":"Dongfang Precision and Leju Launch China's First Humanoid Robot Production Line with 10,000-Unit Annual Capacity","reason":"The production line has disclosed specific cycle times and process inspection data, which readers can use to assess the current stage of humanoid robot mass-production capability.","source":{"name":"东方精工"},"summary":"On March 29, a humanoid robot production line jointly built by Dongfang Precision and Leju, the first in China with an annual capacity of 10,000 units, was officially launched in Guangdong. The line can roll out one humanoid robot every 30 minutes, covering 24 precision assembly processes and 77 full-dimension inspections, with production efficiency 50% higher than traditional modes; each robot must also pass 41 simulated operating-condition tests before leaving the line. The line uses a flexible design that supports mixed production of multiple models, paired with smart warehousing and AGV automated delivery systems.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/id4yziz03p948ugbycvg1md8v","name":"RoboHot"},"publishedAt":"2026-03-31T00:00:00.000Z","discoveredAt":"2026-10-17T05:12:52.860Z","originalTitle":null},{"id":"iew9hy7qcnfme5c2x0maksj2i","links":{"aihot":"https://robohot.news/en/items/iew9hy7qcnfme5c2x0maksj2i","original":"https://mp.weixin.qq.com/s/8qPnbezzQLKLLSJQFwk-0g"},"score":66,"title":"White Rhino completes B+ funding round with SF Express and others participating; total B-round funding nears 500 million yuan","reason":"The original article disclosed specific cost-reduction figures and changes in operational scale for unmanned vehicles in last-mile delivery scenarios, which can be used to assess the actual progress of commercialization in this sector.","source":{"name":"线性资本"},"summary":"White Rhino, an L4 autonomous driving company, announced the completion of a B+ funding round. Existing shareholders SF Express and Linear Capital invested in three consecutive rounds within a year, while Jun Capital, 360 Fund, and Huatai Zijin joined as new shareholders. Total B-round funding has reached nearly 500 million yuan. The funds will go toward R&D of automotive-grade unmanned vehicle products, AI technology iteration, and expansion of commercial scenarios.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/iew9hy7qcnfme5c2x0maksj2i","name":"RoboHot"},"publishedAt":"2025-08-21T02:03:19.000Z","discoveredAt":"2026-10-17T09:14:52.795Z","originalTitle":null},{"id":"if4zts4nsdml3d4x1aiucyo6t","links":{"aihot":"https://robohot.news/en/items/if4zts4nsdml3d4x1aiucyo6t","original":"https://mp.weixin.qq.com/s/9zcdSU480rSoTKf5rddkNQ"},"score":60,"title":"PHYMI Tech releases first robot Sagi, featuring four-wheeled-legged humanoid configuration and PHYMI BRAIN 1.0","reason":"The first four-wheeled-legged humanoid robot presents a complete design approach covering configuration trade-offs, a three-layer model, and a data system, allowing comparison with existing bipedal routes to understand the choice of form.","source":{"name":"云启资本"},"summary":"PHYMI officially released its first robot, Sagi, on October 28. It adopts a \"four-wheeled-legged humanoid configuration\" combining four wheeled legs with a humanoid upper body, dual arms, and a rear box, targeting scenarios such as office delivery, community errands, and outdoor camping transport.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/if4zts4nsdml3d4x1aiucyo6t","name":"RoboHot"},"publishedAt":"2026-10-28T08:30:00.000Z","discoveredAt":"2026-10-29T10:43:27.453Z","originalTitle":null},{"id":"ifwrnjxdzo9sfzd4ja7ikf72i","links":{"aihot":"https://robohot.news/en/items/ifwrnjxdzo9sfzd4ja7ikf72i","original":"https://www.pi.website/research/rlt"},"score":60,"title":"Physical Intelligence proposes RLT: efficient online reinforcement learning for fine manipulation","reason":"The original clearly explains the interface design between the VLA and lightweight online reinforcement learning and provides speedup data on four tasks, so readers can assess whether this type of method applies to their own fine manipulation tasks.","source":{"name":"Physical Intelligence"},"summary":"Physical Intelligence proposes a new method called RL tokens (RLT), in which a vision-language-action model (VLA) outputs a special token to interface with a lightweight online reinforcement learning policy, improving the speed and success rate of fine manipulation phases with only a small amount of real data.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/ifwrnjxdzo9sfzd4ja7ikf72i","name":"RoboHot"},"publishedAt":"2026-03-18T16:00:00.000Z","discoveredAt":"2026-10-17T05:15:44.238Z","originalTitle":null},{"id":"ihfnw40i462fl424yryuq3yuk","links":{"aihot":"https://robohot.news/en/items/ihfnw40i462fl424yryuq3yuk","original":"https://mp.weixin.qq.com/s/_gvRmY25tnCBNo_86gGJZw"},"score":62,"title":"Dajie Robotics completes hundreds of millions of yuan in Series D funding to step up industrial embodied intelligence","reason":"The original text explains the use of funds and the technology roadmap, which lets readers assess the implementation path of industrial embodied intelligence vendors and the direction of their humanoid robot efforts.","source":{"name":"线性资本"},"summary":"Dajie Robotics announced the completion of a Series D funding round worth hundreds of millions of yuan, led jointly by the Liangxi Digital Industry Fund managed by Bohua Capital and a fund under CICC Capital, with follow-on investment from the Beijing Shunyi Science and Technology Innovation Group Fund and the Houshayu Zhonghe Runda Industrial Investment Fund; Linear Capital was the Series A investor and increased its investment in subsequent rounds.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/ihfnw40i462fl424yryuq3yuk","name":"RoboHot"},"publishedAt":"2026-03-03T09:36:52.000Z","discoveredAt":"2026-10-17T09:14:52.488Z","originalTitle":null},{"id":"ij09i2e21o9bn9yq5isel1ycd","links":{"aihot":"https://robohot.news/en/items/ij09i2e21o9bn9yq5isel1ycd","original":"https://arxiv.org/abs/2603.22435"},"score":68,"title":"CaP-X: Benchmarking and Improvement Framework for Robot Manipulation Coding Agents Released","reason":"The original text presents a systematic evaluation framework for Code-as-Policy agents and the finding that test-time scaling can mitigate abstraction dependence, offering reference value for research on coding-agent manipulation control.","source":{"name":"Berkeley AUTOLAB"},"summary":"Teams including Berkeley AUTOLAB propose CaP-X, an open framework for systematically studying Code-as-Policy agents in robot manipulation, centered on the interactive environment CaP-Gym and CaP-Bench, which evaluates 12 frontier models.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/ij09i2e21o9bn9yq5isel1ycd","name":"RoboHot"},"publishedAt":"2026-03-23T18:08:10.000Z","discoveredAt":"2026-10-12T09:50:33.391Z","originalTitle":null},{"id":"ijv6hptxefqi2elpugaw6jcam","links":{"aihot":"https://robohot.news/en/items/ijv6hptxefqi2elpugaw6jcam","original":"https://mp.weixin.qq.com/s?__biz=MjM5MTkzOTEwMA==&mid=2652216075&idx=2&sn=bd25d87355e7039cf3c738d843705ee1&chksm=bcceef51271de02f2c9b808f0b877d09b8c177795560d996812296ea1721320c188ed575278d&scene=126&sessionid=1792233168#rd"},"score":82,"title":"Google-owned Intrinsic open-sources robot foundation software platform Intrinsic Core","reason":"The article clearly lists the control, perception, and planning components included in the platform and their open-source license, so readers can judge which repetitive foundation software work it can replace.","source":{"name":"中国机器人网 · 微信公众号"},"summary":"At ROSCon 2026 in Toronto, Canada, Intrinsic announced that it is open-sourcing the core components of its industrial robotics platform under the Apache 2.0 license and launching Intrinsic Core, a ROS-compatible foundation software platform.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/ijv6hptxefqi2elpugaw6jcam","name":"RoboHot"},"publishedAt":"2026-10-16T03:00:00.000Z","discoveredAt":"2026-10-17T10:32:55.275Z","originalTitle":null},{"id":"ill4p3k62wpvf22r4cycewv1w","links":{"aihot":"https://robohot.news/en/items/ill4p3k62wpvf22r4cycewv1w","original":"https://www.bloter.net/news/articleView.html?idxno=664952"},"score":60,"title":"South Korea's Ministry of Science and ICT Launches Physical AI Leading Technology R&D Project, Investing 34 Billion Won Over Two Years to Advance World Model Localization","reason":"The South Korean government has launched a project to localize core physical AI technologies; readers can learn about its investment scale, target metrics, and industry-academia-research division of labor.","source":{"name":"Holiday Robotics"},"summary":"South Korea's Ministry of Science and ICT held a launch briefing for the Physical AI Leading Technology R&D Project in Seoul on June 9, planning to invest 34 billion won over two years to jointly develop a Korean-style world model and domestic simulator with 10 industry-academia-research institutions including LG Electronics, aiming to raise robots' final action success rate by more than 20 percentage points compared with not using a world model, and planning to achieve an MVP within one year and eight months and conduct validation at manufacturing and logistics sites.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/ill4p3k62wpvf22r4cycewv1w","name":"RoboHot"},"publishedAt":"2026-06-09T00:00:00.000Z","discoveredAt":"2026-10-12T09:51:08.046Z","originalTitle":null},{"id":"imi9tkemgad77rfe6hy2gokmn","links":{"aihot":"https://robohot.news/en/items/imi9tkemgad77rfe6hy2gokmn","original":"https://arxiv.org/abs/2610.25736"},"score":77,"title":"Learning from Fleet Experience: Collective Experience Learning Across 96 Robots","reason":"The paper proposes replacing expert corrections with the deployed robots' own execution experience to iterate on the policy, and reports real-world manipulation results at a scale of 96 robots.","source":{"name":"arXiv cs.RO"},"summary":"The paper proposes the Collective Experience Learning (CEL) paradigm, in which deployed robots pool their own execution experience to update a shared policy that is then returned to the fleet for use. It is implemented through failure-guided experience retrieval fine-tuning (FERT), which uses failure contexts to retrieve relevant segments from successful trajectories and prioritizes their recorded actions for supervised updates, without additional expert demonstrations or corrective actions; a supporting fault-tolerant asynchronous training system (FATS) coordinates robot execution, cloud inference, and policy optimization.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/imi9tkemgad77rfe6hy2gokmn","name":"RoboHot"},"publishedAt":"2026-10-22T04:00:00.000Z","discoveredAt":"2026-10-22T04:09:42.056Z","originalTitle":null},{"id":"imvj6145p3s6tzg2ndigq2lqk","links":{"aihot":"https://robohot.news/en/items/imvj6145p3s6tzg2ndigq2lqk","original":"https://www.rob.co/resources/news/press/robco-series-c"},"score":66,"title":"RobCo closes $100 million Series C to advance Physical AI roadmap and expand in the US market","reason":"The original article provides the use of funds, business model, and background on key customers, giving readers a basis to understand this industrial robotics company's expansion path.","source":{"name":"RobCo"},"summary":"RobCo announced the close of a $100 million Series C round, co-led by Lightspeed Venture Partners and Exor's Lingotto Innovation, with participation from Sequoia Capital and others.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/imvj6145p3s6tzg2ndigq2lqk","name":"RoboHot"},"publishedAt":"2026-01-28T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:46.373Z","originalTitle":null},{"id":"ipkw6nlbrzhj9rh2yxwy9r3mp","links":{"aihot":"https://robohot.news/en/items/ipkw6nlbrzhj9rh2yxwy9r3mp","original":"https://www.newscientist.com/article/2523918-table-tennis-playing-robot-on-track-to-becoming-world-champion/?utm_campaign=RSS|NSNS&utm_content=robotics&utm_medium=RSS&utm_source=NSNS"},"score":76,"title":"Sony AI table tennis robot Ace defeats professional players; research published in Nature","reason":"The article explains Ace's competitive record and three key technologies, and places it alongside the milestones of Deep Blue and AlphaGo, helping readers judge where physical sports competition currently stands.","source":{"name":"New Scientist Robots"},"summary":"Sony AI's autonomous table tennis robot Ace competed under the rules of Japan's professional table tennis league, defeating multiple elite and professional players; the research was published in Nature (DOI: 10.1038/s41586-026-10338-5).","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/ipkw6nlbrzhj9rh2yxwy9r3mp","name":"RoboHot"},"publishedAt":"2026-04-22T15:00:19.000Z","discoveredAt":"2026-10-17T05:14:50.988Z","originalTitle":null},{"id":"iqlhix8vjo7wuf5ufc5z9uxrc","links":{"aihot":"https://robohot.news/en/items/iqlhix8vjo7wuf5ufc5z9uxrc","original":"https://www.engineai.com.cn/about-news-media/55.html"},"score":64,"title":"Zhongqing Robot completes $200 million Series B funding, valuation exceeds 10 billion yuan","reason":"The original text provides the funding amount, valuation, and lead investor structure, allowing readers to understand Zhongqing Robot's current capital and industrial resource positioning.","source":{"name":"EngineAI"},"summary":"Zhongqing Robot has completed a Series B funding round totaling $200 million, with its valuation exceeding 10 billion yuan. The round was led by Henan Investment Group Huirong Fund, with Luxshare Precision co-leading, and participation from multiple institutions, local state-owned capital platforms, and existing shareholders. The funding will be used to deepen technology R&D, expand production capacity, and broaden deployment scenarios.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/iqlhix8vjo7wuf5ufc5z9uxrc","name":"RoboHot"},"publishedAt":"2026-04-10T00:00:00.000Z","discoveredAt":"2026-10-12T09:50:04.251Z","originalTitle":null},{"id":"iurz1fmnhds9lxw7vwh0fks55","links":{"aihot":"https://robohot.news/en/items/iurz1fmnhds9lxw7vwh0fks55","original":"https://www.figure.ai/news/introducing-figure-03"},"score":67,"title":"Figure AI releases third-generation humanoid robot Figure 03","reason":"The official announcement fully explains the new-generation humanoid robot's perception, touch sensing, home-safety design, and mass-production plans, so readers can understand its hardware changes and production capacity targets.","source":{"name":"Figure AI"},"summary":"Figure AI has released its third-generation humanoid robot, Figure 03, redesigned from the ground up for the Helix VLA model, the home, and large-scale mass production, covering both software and hardware.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/iurz1fmnhds9lxw7vwh0fks55","name":"RoboHot"},"publishedAt":"2025-10-09T00:00:00.000Z","discoveredAt":"2026-10-12T09:50:03.227Z","originalTitle":null},{"id":"ivupo5nslml6aillt94312ijq","links":{"aihot":"https://robohot.news/en/items/ivupo5nslml6aillt94312ijq","original":"https://mp.weixin.qq.com/s/-qrz4veewtA7JY_Aq8IiPw"},"score":67,"title":"D-Robotics completes $100 million Series A funding, RDK S100 developer kit to go on sale in June","reason":"It outlines D-Robotics' background as a spin-off from Horizon Robotics, the funding participants, and its product lineup, helping readers understand its position in the embodied intelligence ecosystem.","source":{"name":"线性资本"},"summary":"D-Robotics, under Horizon Robotics-W (9660.HK), announced the completion of a $100 million Series A funding round, with participation from more than 10 investment institutions including Hillhouse Venture Capital, 5Y Capital, and Linear Capital. CEO Wang Cong previously headed Horizon's AIoT and robotics business unit.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/ivupo5nslml6aillt94312ijq","name":"RoboHot"},"publishedAt":"2025-05-28T04:31:07.000Z","discoveredAt":"2026-10-17T09:14:52.928Z","originalTitle":null},{"id":"ixqobr202j6roepeci6y3kpfl","links":{"aihot":"https://robohot.news/en/items/ixqobr202j6roepeci6y3kpfl","original":"https://x.com/TheHumanoidHub/status/2112558935010074763"},"score":76,"title":"Ropedia releases open-world model W0, trained on about 10,000 hours of first-person human video","reason":"The original article provides the training data scale, the cross-embodiment transfer method, and measured comparisons, so readers can judge the world model's actual impact on robot policy training workflows.","source":{"name":"The Humanoid Hub"},"summary":"Ropedia released the open-world model W0, trained on about 10,000 hours of first-person human video. A single set of weights can predict the first-person view of humans, robotic arms, and humanoid robots (Unitree G1, Fourier GR-1), using a shared camera-plus-skeleton representation; adding a new robot requires only its URDF.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/ixqobr202j6roepeci6y3kpfl","name":"RoboHot"},"publishedAt":"2026-10-20T14:57:54.000Z","discoveredAt":"2026-10-20T15:19:29.441Z","originalTitle":null},{"id":"j2l381g8q41btxpat647t6o4i","links":{"aihot":"https://robohot.news/en/items/j2l381g8q41btxpat647t6o4i","original":"https://mp.weixin.qq.com/s?__biz=MzI2MDcxMzQzOA==&mid=2247551219&idx=1&sn=e76ef978c207d835fa2fd5e18715ed2c&chksm=eb323ddd0e7ecff017186a6718a6ede3b9ec230edfa4949fa7cd6e7da5fde0533e168c38a752&scene=126&sessionid=1792413679#rd"},"score":68,"title":"BAAI's FlagOS 2.2 released: over 1,454 operators, 27% cross-chip performance gain","reason":"The original text provides specific figures for operators, quantization, and serving throughput, which readers can use to assess the performance and cost potential of existing chips for running new models.","source":{"name":"智源研究院 · 微信公众号"},"summary":"BAAI presented FlagOS 2.2 progress at the 2026 AI Open Computing Conference and FlagOS Technical Conference; the version was released on September 30. Public operators in the nine operator libraries rose from 564 to 1,454 (890 added). In tests covering over a thousand operators and 10 heterogeneous AI chips, cross-chip operator performance improved by about 27% over the previous version. The FlagOS-Compressor weight conversion and quantization tool was released for the first time, enabling a new model to be adapted to as many as 12 chips within one day.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/j2l381g8q41btxpat647t6o4i","name":"RoboHot"},"publishedAt":"2026-10-19T08:48:30.000Z","discoveredAt":"2026-10-19T12:41:24.680Z","originalTitle":null},{"id":"j3ehor58ag63quls0f8zvj2v8","links":{"aihot":"https://robohot.news/en/items/j3ehor58ag63quls0f8zvj2v8","original":"https://faunarobotics.com/news/fauna-robotics-joins-amazon"},"score":61,"title":"Fauna Robotics announces joining Amazon","reason":"The acquisition announcement comes from the parties' official statement, which makes clear that sales of existing products and customer support remain unchanged, allowing readers to assess the follow-on impact on that basis.","source":{"name":"Fauna Robotics"},"summary":"Fauna Robotics officially announced that it has formally joined Amazon and will operate under the name Fauna Robotics, an Amazon company. The company will continue selling the Sprout Creator Edition robot to new customers and continue supporting existing customers, saying there is no practical change to current operations, while the team is expanding and hiring.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/j3ehor58ag63quls0f8zvj2v8","name":"RoboHot"},"publishedAt":"2026-03-24T05:00:00.000Z","discoveredAt":"2026-10-12T09:51:35.860Z","originalTitle":null},{"id":"j4bvbrzly569c637kjkbb1atv","links":{"aihot":"https://robohot.news/en/items/j4bvbrzly569c637kjkbb1atv","original":"https://arxiv.org/abs/2610.41877"},"score":80,"title":"Movens-Zero: Scaling humanoid motion foundation models with large-scale human videos","reason":"This technical report presents a complete path for building a humanoid motion dataset from Internet videos and training a unified understanding-generation-execution model, offering a reference for data scale and architecture design.","source":{"name":"arXiv cs.RO"},"summary":"The research team proposes Movens-Zero, a scalable understanding-generation-execution architecture that supports real-time closed-loop humanoid motion generation under text, speech, music, and video inputs. Its accompanying dataset, Movens-5M, is built from Internet videos through clip generation, quality filtering, semantic annotation, motion recovery, and physical refinement with humanoid retargeting. It contains 15 million human motion sequences and 5 million physically executable humanoid motion sequences, totaling over 10,000 hours.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/j4bvbrzly569c637kjkbb1atv","name":"RoboHot"},"publishedAt":"2026-11-02T05:00:00.000Z","discoveredAt":"2026-11-02T05:01:36.450Z","originalTitle":null},{"id":"j5qnxd28ykz68rqr8ntd9eo3j","links":{"aihot":"https://robohot.news/en/items/j5qnxd28ykz68rqr8ntd9eo3j","original":"https://mp.weixin.qq.com/s?__biz=MzAwNzA5Mjg1Ng==&mid=2649493855&idx=1&sn=bd11567cc9ee066f452d04b674ccdbb1&chksm=8265b307b59139a950d7c4520f4e235c89e4daad39d42afa75d2bd598e01dc5161d50131ae36&scene=126&sessionid=1792237352#rd"},"score":65,"title":"Oula Wanxiang Completes Four Funding Rounds in Half a Year, Angel+ Round Raises Hundreds of Millions of Yuan","reason":"Beyond the funding information, the interview explains the choice of form factor and a phased data strategy, which can serve as a reference for observing the trade-offs in early-stage home embodied companies' approaches.","source":{"name":"九合创投 · 微信公众号（九合创投）"},"summary":"Home embodied intelligence robotics company Oula Wanxiang recently completed an angel+ round of hundreds of millions of yuan. This is its fourth funding round within half a year since its registration and establishment in March 2026. The round was jointly invested by new and existing shareholders including Chengyuanxiang Fund, Xinneng Venture Capital, Xizhou International, Topband Co., Ltd., and Hony Capital, with Zhiguan Capital serving as exclusive financial advisor.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/j5qnxd28ykz68rqr8ntd9eo3j","name":"RoboHot"},"publishedAt":"2026-10-12T06:31:06.000Z","discoveredAt":"2026-10-17T11:42:37.750Z","originalTitle":null},{"id":"j72ixu3irgmsiul4ya8n4za0u","links":{"aihot":"https://robohot.news/en/items/j72ixu3irgmsiul4ya8n4za0u","original":"https://www.lavenderhillcapital.com/post/westwell-expands-autonomous-port-logistics-at-yantian-international-container-terminal"},"score":63,"title":"Tashan Technology Completes Series B Round Worth Hundreds of Millions of Yuan, Building an End-to-End Tactile Sensing Industry Layout","reason":"Operating data of tens of thousands of units shipped per month and a share exceeding 80% lets readers gauge the actual progress of tactile sensing toward scaled deployment.","source":{"name":"Lavender Hill Capital Partners"},"summary":"Tashan Technology recently announced the completion of a Series B financing round worth hundreds of millions of yuan, with investors including Lavender Hill Capital Partners (LHCP).","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/j72ixu3irgmsiul4ya8n4za0u","name":"RoboHot"},"publishedAt":"2026-07-10T10:02:03.000Z","discoveredAt":"2026-10-17T05:11:50.504Z","originalTitle":null},{"id":"j7xb66j3sktkeyhgk6egywgv1","links":{"aihot":"https://robohot.news/en/items/j7xb66j3sktkeyhgk6egywgv1","original":"https://mp.weixin.qq.com/s/UE6rXC5eN9roGAT_SwKoVQ"},"score":62,"title":"White Rhino completes 200 million yuan Series B funding, led by SF Express with Linear Capital participating","reason":"The report provides the investor structure and actual operating data, which can be used to assess the commercialization progress and industrial collaboration models in the autonomous delivery sector.","source":{"name":"线性资本"},"summary":"White Rhino recently announced the completion of a 200 million yuan Series B funding round, led by SF Express, with continued investment from Linear Capital and participation from Xinyuan Auto. The funds will be used for new product R&D, market promotion, and supply chain optimization. Currently, White Rhino has hundreds of autonomous delivery vehicles in daily active operation within the SF Express network, and partnerships with express delivery customers have helped improve their logistics efficiency by approximately 20-50%. It has already begun commercial operations in more than 50 cities, including Beijing, Shanghai, and Shenzhen.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/j7xb66j3sktkeyhgk6egywgv1","name":"RoboHot"},"publishedAt":"2025-05-08T10:23:40.000Z","discoveredAt":"2026-10-17T09:14:52.954Z","originalTitle":null},{"id":"jf876lpgaecgj9ut1zrea1t4w","links":{"aihot":"https://robohot.news/en/items/jf876lpgaecgj9ut1zrea1t4w","original":"https://www.figure.ai/news/figure-signs-agreement-with-catalyst-brands"},"score":63,"title":"Figure AI Signs Agreement with Catalyst Brands to Deploy Humanoid Robots Across Its Logistics Network","reason":"The original text provides the commercial deployment location and partnership context, allowing readers to understand the practical commercialization progress of humanoid robots in logistics scenarios.","source":{"name":"Figure AI"},"summary":"Figure AI announced a commercial agreement with Catalyst Brands to deploy Figure humanoid robots across its distribution and logistics network, starting at the Reno, Nevada distribution and logistics center, focusing on high-intensity physical tasks in automated supply chains.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/jf876lpgaecgj9ut1zrea1t4w","name":"RoboHot"},"publishedAt":"2026-05-26T00:00:00.000Z","discoveredAt":"2026-10-12T09:50:03.424Z","originalTitle":null},{"id":"jfagdl84kxqyh8o7x5rzyor98","links":{"aihot":"https://robohot.news/en/items/jfagdl84kxqyh8o7x5rzyor98","original":"https://mp.weixin.qq.com/s?__biz=MzU3MjQ2MDcwNQ==&mid=2247780491&idx=2&sn=e6d4e0d339457252f95d618cb8349283&chksm=fd992459f10b24b9dcd48212bdd1ae1f38a2ec2dcf0845ae37e42a74b31515495b9024793fba&scene=126&sessionid=1792402455#rd"},"score":70,"title":"HKU MMLAB releases PhysicalRSI 1.0, tops RoboDojo and sharply cuts token costs","reason":"The material provides the specific mechanisms of the self-evolving baseline and comparison data with general large models, allowing readers to understand the causes of shortcomings in precision manipulation and paths for improvement.","source":{"name":"深圳市机器人协会 · 微信公众号"},"summary":"The University of Hong Kong's MMLAB jointly released PhysicalRSI 1.0, a self-evolving embodied intelligence system baseline, achieving a score of 36.27 and an average task success rate of 31.38% on RoboDojo, ranking first.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/jfagdl84kxqyh8o7x5rzyor98","name":"RoboHot"},"publishedAt":"2026-10-13T08:57:16.000Z","discoveredAt":"2026-10-19T09:34:33.171Z","originalTitle":null},{"id":"jjhgae398m0lypuzj3ufk2vag","links":{"aihot":"https://robohot.news/en/items/jjhgae398m0lypuzj3ufk2vag","original":"https://www.psibot.ai/%e7%81%b5%e5%88%9d%e6%99%ba%e8%83%bdpsi-r2-5%e6%ad%a3%e5%bc%8f%e5%8f%91%e5%b8%83%ef%bc%81%e6%a8%a1%e5%9e%8b%e8%83%bd%e5%8a%9b%e6%8c%81%e7%bb%ad%e5%bc%ba%e5%8c%96%ef%bc%8c%e7%a0%b4%e8%a7%a3/"},"score":66,"title":"Lingchu Intelligence releases Psi-R2.5, using strong Pair Data to solve human-machine data alignment challenges","reason":"The original article details the model architecture, the strong Pair Data data standard, and the reverse-generation method, letting readers understand how its data approach supports real-robot generalization.","source":{"name":"PsiBot/灵初智能"},"summary":"Lingchu Intelligence has officially released its embodied model Psi-R2.5, which uses a two-tier architecture with a QwenVL3.5-4B high-level planner plus a Wan2.2-IT2V-5B low-level controller, and proposes the strong Pair Data standard. The model reverse-invokes the Psi-W0 world model to generate human demonstration videos backward from real-robot data, enabling mass production of paired data, and supports in-context learning (ICL) for zero-shot generalization to new tasks. It comes with a HIL+RL post-training framework and is claimed to raise task success rates to 99% after a few iterations taking only 1-2 working days, and has already been deployed at customer sites.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/jjhgae398m0lypuzj3ufk2vag","name":"RoboHot"},"publishedAt":"2026-09-28T06:00:11.000Z","discoveredAt":"2026-10-12T09:50:36.962Z","originalTitle":null},{"id":"jk6d4hpvkqzr635a5q282xhfa","links":{"aihot":"https://robohot.news/en/items/jk6d4hpvkqzr635a5q282xhfa","original":"https://www.xiaopeng.com/news/company_news/5592.html"},"score":61,"title":"XPeng Robotics production line begins operation; first high-order general-purpose humanoid robot completes automated final assembly and rolls off line","reason":"The production line's automation rate and key robot specifications were disclosed together, providing a basis for assessing the actual progress of humanoid robots from R&D prototyping toward mass production.","source":{"name":"小鹏机器人"},"summary":"XPeng Robotics' production line has officially begun operation, with the world's first high-order general-purpose humanoid robot completing automated final assembly and walking off the line autonomously. The line's core process automation rate exceeds 80%. The robot has 76 degrees of freedom across its body and 21 degrees of freedom per hand, is equipped with 3 Turing AI chips with 2,250 TOPS of effective computing power, and runs a physical AI large model deployed on-device, enabling it to autonomously complete complex work tasks without teleoperation.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/jk6d4hpvkqzr635a5q282xhfa","name":"RoboHot"},"publishedAt":"2026-09-09T00:00:00.000Z","discoveredAt":"2026-10-17T05:10:45.233Z","originalTitle":null},{"id":"jmbb24k2xbtzziimeobtjp2e0","links":{"aihot":"https://robohot.news/en/items/jmbb24k2xbtzziimeobtjp2e0","original":"https://mp.weixin.qq.com/s/dWGxwsS24IsG8239_oZiuw"},"score":75,"title":"Neolix completes nearly $400 million Series E funding, deploys over 30,000 unmanned delivery vehicles globally","reason":"The original article provides the funding size, fleet numbers, and year-over-year comparison data, allowing readers to assess the commercialization pace and scaling path of the unmanned delivery sector.","source":{"name":"云启资本"},"summary":"Neolix announced the completion of a Series E funding round of nearly $400 million, equivalent to approximately RMB 2.68 billion, jointly led by Boyu Capital and a national-level fund, with existing shareholders including Yunqi Capital continuing to participate. The company says this is the largest single financing in China's autonomous driving sector in 2026, with cumulative funding exceeding RMB 10 billion.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/jmbb24k2xbtzziimeobtjp2e0","name":"RoboHot"},"publishedAt":"2026-10-20T08:31:00.000Z","discoveredAt":"2026-10-22T09:02:20.804Z","originalTitle":null},{"id":"jo1esbalypnldrp1ehzhzy3sg","links":{"aihot":"https://robohot.news/en/items/jo1esbalypnldrp1ehzhzy3sg","original":"https://mp.weixin.qq.com/s?__biz=MzkyMTc1NTI3Ng==&mid=2247509065&idx=1&sn=2d0298441a439f5b6d05ca02fb52e566&chksm=c0b5f3164c4a5934c5cfd63f172a48621d49eff90a384572ea363f674b1e3aebe3451b616f49&scene=126&sessionid=1792236622#rd"},"score":76,"title":"Shanghai AI Lab evaluates GPT-6-Astra's capability boundaries as a robot policy on EBench","reason":"The benchmark quantifies the capability gap between general large models and post-trained policies, helping readers judge which task lengths and manipulation precisions each approach suits.","source":{"name":"Xbotics具身智能实验室 · 微信公众号"},"summary":"Shanghai AI Laboratory's embodied evaluation team used EBench to evaluate GPT-6-Astra as a robot policy directly, without task-specific post-training, across 26 tasks and 510 total executions. Its average task success rate of 46.7% ranked third, and its average task score of 0.654 ranked second; OpenWAM-α led with a 55.3% success rate.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/jo1esbalypnldrp1ehzhzy3sg","name":"RoboHot"},"publishedAt":"2026-10-15T09:00:00.000Z","discoveredAt":"2026-10-17T11:30:26.929Z","originalTitle":null},{"id":"jxixxc7wm8chgyqgnsmmhfy3y","links":{"aihot":"https://robohot.news/en/items/jxixxc7wm8chgyqgnsmmhfy3y","original":"https://www.figure.ai/news/series-c"},"score":74,"title":"Figure AI closes over $1 billion Series C at $39 billion post-money valuation","reason":"Figure's official disclosure of the funding size and how it will be used lets readers understand the priorities for advancing its three lines: Helix, BotQ manufacturing and data collection.","source":{"name":"Figure AI"},"summary":"Figure AI announced over $1 billion in committed capital for its Series C round at a $39 billion post-money valuation, led by Parkway Venture Capital with participation from NVIDIA, Brookfield, Intel Capital, Salesforce, Qualcomm Ventures and others.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/jxixxc7wm8chgyqgnsmmhfy3y","name":"RoboHot"},"publishedAt":"2025-09-16T00:00:00.000Z","discoveredAt":"2026-10-12T11:50:34.718Z","originalTitle":null},{"id":"jxv7a8y1c2j1c0z167rmfho5o","links":{"aihot":"https://robohot.news/en/items/jxv7a8y1c2j1c0z167rmfho5o","original":"https://robot.hit.edu.cn/2026/0814/c287a399622/page.htm"},"score":65,"title":"HIT's Wu Zhiguang team develops adaptive magnetically controlled nanorobot swarm platform, achieving navigation in the spinal canal of mice and non-human primates","reason":"The research team released experimental results on navigation of magnetically controlled nanorobot swarms in non-human primates. Readers interested in the medical translation of micro- and nanorobots can learn about its technical approach.","source":{"name":"Harbin Institute of Technology Robotics"},"summary":"Professor Wu Zhiguang's team at Harbin Institute of Technology (HIT), together with collaborators, developed an adaptive magnetically controlled nanorobot platform that can form swarm motion patterns such as vortex, chain, and ribbon under external magnetic field drive, and achieved targeted navigation within the spinal canal in mice and non-human primates. The results were published in Science Advances.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/jxv7a8y1c2j1c0z167rmfho5o","name":"RoboHot"},"publishedAt":"2026-08-13T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:10.774Z","originalTitle":null},{"id":"k1xkj3nkifxdz5vqp2b3givn6","links":{"aihot":"https://robohot.news/en/items/k1xkj3nkifxdz5vqp2b3givn6","original":"https://boosterobotics.medium.com/booster-robotics-launches-booster-k1-aiming-to-become-the-apple-of-the-ai-era-f72a9f70992d?source=rss-d8a8164d3c8d------2"},"score":64,"title":"Booster Robotics launches Booster K1 humanoid robot, Geek edition priced at $5,999","reason":"The official release of full-unit pricing, three versions, and an ecosystem support plan lets readers assess the entry threshold for this humanoid robot platform.","source":{"name":"Booster Robotics/加速进化"},"summary":"Booster Robotics unveiled Booster K1, an entry-level embodied AI development platform, at its Beijing ecosystem conference. It comes in three versions: K1 Geek, K1 Edu, and K1 Pro, all standard with 22 degrees of freedom and support for secondary development.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/k1xkj3nkifxdz5vqp2b3givn6","name":"RoboHot"},"publishedAt":"2025-10-31T12:42:08.000Z","discoveredAt":"2026-10-12T09:50:39.003Z","originalTitle":null},{"id":"k2gv2m81o4pcndrtkclmnobr1","links":{"aihot":"https://robohot.news/en/items/k2gv2m81o4pcndrtkclmnobr1","original":"https://arxiv.org/abs/2610.40828"},"score":77,"title":"From Teleoperation to Long-Horizon Dexterity: Evaluating Visuomotor Skills and Offline Proxies for Dexterous Manipulation","reason":"Approximately 1,700 real-robot trials compared 281 imitation-learning policies, indicating that observation and action representations determine real-world success more than optimizer and sampling choices.","source":{"name":"arXiv cs.RO"},"summary":"The research team used a five-fingered robotic hand to grasp and insert RJ45 connectors, evaluating 281 imitation-learning policies spanning seven policy families in approximately 1,700 real-robot trials. Controlled ablations showed that observation and action representations had a greater impact than conventional optimizer and sampling choices. For point-cloud policies, region-of-interest cropping, representation in the robot-base frame, and normalization within the point encoder each improved success by 70 to 100 percentage points. For the vision-language-action policy, switching to absolute action prediction improved insertion success by up to 70 percentage points.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/k2gv2m81o4pcndrtkclmnobr1","name":"RoboHot"},"publishedAt":"2026-11-02T05:00:00.000Z","discoveredAt":"2026-11-02T05:01:36.124Z","originalTitle":null},{"id":"k6zebkpn5wc1kpt7pvfgv059p","links":{"aihot":"https://robohot.news/en/items/k6zebkpn5wc1kpt7pvfgv059p","original":"https://mp.weixin.qq.com/s/xu4L_i7qOnpnSBf0NVyezw"},"score":66,"title":"Stardust Intelligence completes new RMB 1 billion funding round at RMB 15 billion valuation","reason":"It reviews the pace of the company's four funding rounds in six months and details of its full-stack architecture, which can be used to understand the commercialization progress of the rope-driven approach.","source":{"name":"云启资本"},"summary":"Stardust Intelligence recently completed a new funding round of RMB 1 billion, reaching a valuation of RMB 15 billion. The round was led by Toushe Donghai (Shenzhen Investment Holdings), with participation from Hongtai Fund, Ninghai Xingtaaihe Fund, and Shanheng Capital, among others, and existing shareholder Xianmu increased its investment. This is its fourth funding round in the past six months; its Series B valuation first exceeded RMB 10 billion in June 2026 and rose to RMB 15 billion three months later.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/k6zebkpn5wc1kpt7pvfgv059p","name":"RoboHot"},"publishedAt":"2026-10-13T04:00:00.000Z","discoveredAt":"2026-10-17T09:13:46.819Z","originalTitle":null},{"id":"k7gjniyez2iyjiyf26g2mhvwg","links":{"aihot":"https://robohot.news/en/items/k7gjniyez2iyjiyf26g2mhvwg","original":"https://mp.weixin.qq.com/s?__biz=MzkzOTc1NjE3Nw==&mid=2247486255&idx=1&sn=2b166ce6fb7eb459440de1db9fe891f6&chksm=c3e9600335fe1d7eabb5397e93f9290fd19950a6fbda1b36e4fb6c53f8434214cfe0f3b1258a&scene=126&sessionid=1792409990#rd"},"score":74,"title":"X Square Robot releases X2Real simulation benchmark, with 0.96 correlation between simulated and real-robot task success rates","reason":"It provides correlation data between simulated and real-robot evaluation along with a unified integration method, allowing readers to judge whether simulated evaluation can replace part of real-robot testing.","source":{"name":"自变量机器人 · 微信公众号"},"summary":"X Square Robot has released X2Real, an evolvable simulation evaluation benchmark. Its simulated evaluation and real-robot evaluation achieve a task success rate correlation of 0.96 and a progress score correlation of 0.99.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/k7gjniyez2iyjiyf26g2mhvwg","name":"RoboHot"},"publishedAt":"2026-10-19T09:19:16.000Z","discoveredAt":"2026-10-19T11:39:58.676Z","originalTitle":null},{"id":"kcm21lbmhp47i20d4sdl304hy","links":{"aihot":"https://robohot.news/en/items/kcm21lbmhp47i20d4sdl304hy","original":"https://mp.weixin.qq.com/s?__biz=MzI3MTA0MTk1MA==&mid=2652739020&idx=1&sn=ce7604c5f2997a8da87127bc85456cb5&chksm=f0c7bfde49a3330005cd26051e936c85915e25589d21450ae820ab92d3faac4587f2c17f2afc&scene=126&sessionid=1793283320#rd"},"score":78,"title":"AgiBot releases GO-3 Preview embodied model, tops three robotics leaderboards and plans full open source by year-end","reason":"AgiBot links pretraining, post-training, and post-deployment learning into a single pipeline, which readers can use to compare differences in scaling approaches for embodied models.","source":{"name":"新智元 · 微信公众号"},"summary":"AgiBot officially released its GO-3 Preview embodied model on October 29, taking Top 1 on robotics leaderboards including RoboDojo, RoboTwin, and RoboColiseum, and expects to fully open source it by year-end.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/kcm21lbmhp47i20d4sdl304hy","name":"RoboHot"},"publishedAt":"2026-10-29T09:42:12.000Z","discoveredAt":"2026-10-29T14:15:21.958Z","originalTitle":null},{"id":"khfar1bd4tpefv8vrril80lpq","links":{"aihot":"https://robohot.news/en/items/khfar1bd4tpefv8vrril80lpq","original":"https://mp.weixin.qq.com/s?__biz=MzkzMjY2Mzc5MA==&mid=2247496515&idx=1&sn=5e8f9be1cf4c22bac7357d81ea89d3ea&chksm=c31cdf1f26356014c1713f04c5d1c720f25db2c5d1071e11b4bc99997f9821d002d388991a59&scene=126&sessionid=1793716209#rd"},"score":78,"title":"Leaderdrive's first three quarters revenue up 45%, humanoid reducer orders reach 400,000 units","reason":"Across orders, capacity, gross margin, and domestic competition, readers can see the real operating constraints during the ramp-up phase for humanoid reducers.","source":{"name":"人形大讲堂 · 微信公众号"},"summary":"Leaderdrive's revenue for the first three quarters of 2026 was 591 million yuan, up 45.30% year on year, with net profit attributable to shareholders of 122 million yuan, up 30.33% year on year; humanoid-related reducer orders rose from about 100,000 units the previous year to 400,000 units. The company's annual harmonic reducer capacity has reached 1 million units, with a year-end target of 1.5 million units, but its gross margin in the first half was 32.26%, down 2.51 percentage points year on year, as new production line debugging and small-batch production of multiple models are weighing on profitability. The article also compares the catch-up pace of domestic manufacturers such as Zhongda Leader, HuanDong Technology, and Laifu Harmonic.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/khfar1bd4tpefv8vrril80lpq","name":"RoboHot"},"publishedAt":"2026-11-03T10:00:00.000Z","discoveredAt":"2026-11-03T14:30:10.087Z","originalTitle":null},{"id":"kin1bxgh87d4x0vcewbu05j20","links":{"aihot":"https://robohot.news/en/items/kin1bxgh87d4x0vcewbu05j20","original":"https://www.skild.ai/blogs/s1"},"score":76,"title":"Skild AI releases robot foundation model S1, achieving in-context learning through video demonstrations","reason":"The original article provides comparison figures for ICL and VLA at the same data scale and a deployment timeline, allowing readers to assess the feasibility of the in-context learning approach for manipulation tasks.","source":{"name":"Skild AI"},"summary":"Skild AI released the robot foundation model S1, which uses video demonstrations as task prompts and can execute manipulation tasks not seen during training without fine-tuning, with long-horizon tasks lasting up to about 10 minutes. At a pretraining data scale of 100,000 hours, the ICL model achieved a 66% success rate on unseen tasks, compared with 9% for the language-prompted VLA; a single demonstration was equivalent to about 380 post-training demonstrations, and the planting task took 11 minutes from recording the demonstration to autonomous execution. S1 was trained on NVIDIA AI infrastructure and has already been put into use with commercial partners.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/kin1bxgh87d4x0vcewbu05j20","name":"RoboHot"},"publishedAt":"2026-08-17T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:06.250Z","originalTitle":null},{"id":"kjy9d0u4iq4oqlnn5gyw43b5i","links":{"aihot":"https://robohot.news/en/items/kjy9d0u4iq4oqlnn5gyw43b5i","original":"https://www.wandercraft.eu/articles/wandercraft-acquires-ekso-bionics"},"score":68,"title":"Wandercraft Acquires Ekso Bionics to Form Medical Exoskeleton Company","reason":"The source is the acquiring party itself and provides details on the combined product line, clinical coverage, and reimbursement, allowing readers to assess changes in the medical exoskeleton market landscape.","source":{"name":"Wandercraft"},"summary":"Wandercraft announced the acquisition of Ekso Bionics from a subsidiary of ChronoScale Holdings; the deal was signed and closed simultaneously, with financial terms undisclosed.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/kjy9d0u4iq4oqlnn5gyw43b5i","name":"RoboHot"},"publishedAt":"2026-09-30T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:40.491Z","originalTitle":null},{"id":"kn09m6vlbspdj3q80rejmqtzv","links":{"aihot":"https://robohot.news/en/items/kn09m6vlbspdj3q80rejmqtzv","original":"https://www.agilityrobotics.com/content/agility-robotics-to-livestream-analyst-investor-day-today"},"score":62,"title":"Agility Robotics to Livestream Analyst and Investor Day on October 6, Introducing Digit 5 and Public Listing Progress","reason":"The official announcement provides the event agenda and guest lineup, allowing readers to understand what investors and ecosystem partners are focusing on regarding commercial deployment.","source":{"name":"Agility Robotics"},"summary":"Agility Robotics will hold an Analyst and Investor Day in New York on October 6, livestreamed from 12:30–3:00 p.m. ET via its investor relations website. The event will cover Digit 5 and commercial deployment experience, manufacturing and supply chain expansion, and the software and Physical AI roadmap, with guests including representatives from Schaeffler, Foxconn, and AUVSI.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/kn09m6vlbspdj3q80rejmqtzv","name":"RoboHot"},"publishedAt":"2026-10-05T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:03.222Z","originalTitle":null},{"id":"kqtj15n3usntn8g05c9dkj7yz","links":{"aihot":"https://robohot.news/en/items/kqtj15n3usntn8g05c9dkj7yz","original":"https://arxiv.org/abs/2609.02546"},"score":79,"title":"ZETA: A Controlled Study of Zero-Shot Cross-Embodiment VLA Transfer for Tabletop Manipulation","reason":"The paper provides a unified definition of zero-shot cross-embodiment transfer and a controlled benchmark, allowing readers to understand the actual benefits of different representation and data strategies.","source":{"name":"PKU EPIC Lab"},"summary":"PKU EPIC Lab published the ZETA study on arXiv (arXiv:2609.02546), proposing a unified definition of zero-shot cross-embodiment VLA transfer and a controlled benchmark covering 14 held-out target embodiments, distinguishing strict zero-shot transfer from pretrain-exposed transfer. Experiments show that local end-effector state-action representations, source embodiment diversity, and auxiliary co-training improve transfer by about 15, 18, and 7 percentage points, respectively, and that adding only 5% target-embodiment data during pretraining raises average target-embodiment progress by 13.4 percentage points.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/kqtj15n3usntn8g05c9dkj7yz","name":"RoboHot"},"publishedAt":"2026-09-02T13:00:18.000Z","discoveredAt":"2026-10-12T09:50:33.732Z","originalTitle":null},{"id":"kuom1cq7lpkhq1jofql0wzfdj","links":{"aihot":"https://robohot.news/en/items/kuom1cq7lpkhq1jofql0wzfdj","original":"https://news.qq.com/rain/a/20260715A0A2DC00"},"score":70,"title":"X Square Robot releases DMuon optimizer, improving embodied model distributed training efficiency by about 30%","reason":"The original article explains the sources of Muon's overhead in distributed training and three improvement approaches, which embodied model teams can use to assess the feasibility of improving training efficiency.","source":{"name":"X Square Robot/自变量机器人"},"summary":"X Square Robot has released the DMuon optimizer, a distributed adaptation of the Muon optimizer that improves embodied model distributed training efficiency by about 30%, reducing per-step training time from 2.2 times that of AdamW to 1.02 times. The improvements include Owner-centric execution and communication optimization, automatic selection of compute kernels based on matrix shape, and balanced workload distribution across Owners. DMuon is fully open source and compatible with Muon usage, requiring only 3 lines of code to introduce into training.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/kuom1cq7lpkhq1jofql0wzfdj","name":"RoboHot"},"publishedAt":"2026-07-15T00:00:00.000Z","discoveredAt":"2026-10-12T09:50:35.619Z","originalTitle":null},{"id":"kvix95r8ty8gklsye6yssulv4","links":{"aihot":"https://robohot.news/en/items/kvix95r8ty8gklsye6yssulv4","original":"https://robot.ofweek.com/2026-10/ART-898890-12003-30706979.html"},"score":78,"title":"Unitree market value retraces nearly 70%; Wang Xingxing admits at CIIF he did not believe in AI enough","reason":"The original article traces the sequence behind Unitree's post-listing share price drawdown and the founder's strategic statement, helping readers understand the AI transformation pressure facing the hardware-first approach.","source":{"name":"OFweek Robotics"},"summary":"Less than two months after its listing, Unitree Technology's share price fell from a high of 1,237 yuan to around 420 yuan, wiping out more than 270 billion yuan in market value, with a maximum drawdown of nearly 70%. Founder Wang Xingxing said on October 12 at the Shanghai International Industry Fair that his biggest mistake over the past decade-plus was not believing in AI enough, and gave a forecast that the robotics era could reach an inflection point in as soon as one to two years. Unitree is building a physical AI self-evolution system. The stock closed up 3.64% the day after his remarks.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/kvix95r8ty8gklsye6yssulv4","name":"RoboHot"},"publishedAt":"2026-10-14T02:21:00.000Z","discoveredAt":"2026-10-14T03:20:48.517Z","originalTitle":null},{"id":"l09lkx7w0mu6rg1tn2uat5n56","links":{"aihot":"https://robohot.news/en/items/l09lkx7w0mu6rg1tn2uat5n56","original":"https://robot.ofweek.com/2026-06/ART-898890-8330-30691441.html"},"score":82,"title":"Galbot releases AstraBrain-WBC 0.5, validating Scaling Law with humanoid motion data","reason":"This analysis clearly explains the data scale, architecture choices, and limitations of Galbot's new model, letting readers assess progress on the general motion control route.","source":{"name":"OFweek Robotics"},"summary":"Galbot released AstraBrain-WBC 0.5 (paper titled Humanoid-GPT, accepted to CVPR 2026), training a Transformer whole-body controller on about 2 billion frames of retargeted motion data, achieving a 92.58% zero-shot motion tracking success rate with 0.39 ms inference latency; code and data are open-sourced.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/l09lkx7w0mu6rg1tn2uat5n56","name":"RoboHot"},"publishedAt":"2026-06-22T04:03:00.000Z","discoveredAt":"2026-10-12T13:50:38.411Z","originalTitle":null},{"id":"l0nc8dbdpu3msc3ooym3j7rxj","links":{"aihot":"https://robohot.news/en/items/l0nc8dbdpu3msc3ooym3j7rxj","original":"https://arxiv.org/abs/2609.12433"},"score":73,"title":"FoldNet++: A Large-Scale Synthetic Dataset for Robotic T-Shirt Folding and Unfolding","reason":"The source gives the dataset scale and the real-world deployment success rate, so readers can assess the feasibility of training garment manipulation policies purely on synthetic data.","source":{"name":"PKU EPIC Lab"},"summary":"PKU EPIC Lab has released FoldNet++, a large-scale synthetic dataset for robotic T-shirt folding and unfolding, covering 6 robotic embodiments, 1K T-shirts, 1K environmental assets, and 120K richly annotated demonstrations.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/l0nc8dbdpu3msc3ooym3j7rxj","name":"RoboHot"},"publishedAt":"2026-09-11T04:43:48.000Z","discoveredAt":"2026-10-12T09:50:33.714Z","originalTitle":null},{"id":"l3u109apw24lk62u7ef240kes","links":{"aihot":"https://robohot.news/en/items/l3u109apw24lk62u7ef240kes","original":"https://www.xiaopeng.com/news/company_news/5591.html"},"score":63,"title":"XPeng's second-generation VLA large model gets its first major upgrade, XOS 6.3.0 to debut globally on the G9L","reason":"The original breaks the upgrade into three specific changes: contextual memory, reasoning approach, and world model. Readers can use these to understand how the shift from spatial understanding to spatiotemporal understanding is realized.","source":{"name":"小鹏机器人"},"summary":"XPeng held a sharing and experience day themed \"TIME,\" announcing the first major upgrade to its second-generation VLA large model. The new XOS 6.3.0 version will make its global debut on the XPeng G9L, with the core aim of moving AI from 3D spatial understanding to 4D spatiotemporal understanding.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/l3u109apw24lk62u7ef240kes","name":"RoboHot"},"publishedAt":"2026-09-01T00:00:00.000Z","discoveredAt":"2026-10-17T05:10:45.314Z","originalTitle":null},{"id":"l4a7ncpyh89v7ulybrtaf5m5l","links":{"aihot":"https://robohot.news/en/items/l4a7ncpyh89v7ulybrtaf5m5l","original":"https://www.agilityrobotics.com/content/agility-robotics-and-churchill-capital-corp-xi-s-4-registration-statement-declared-effective-by-sec-in-connection-with-proposed-business-combination"},"score":76,"title":"SEC Declares Effective S-4 Registration Statement for Agility Robotics and Churchill Capital Corp XI Merger","reason":"The original text provides specific terms such as the transaction amount, voting date, and use of proceeds, allowing readers to track this robotics company's listing process.","source":{"name":"Agility Robotics"},"summary":"The Form S-4 registration statement for the proposed business combination between Agility Robotics and Churchill Capital Corp XI (Nasdaq: CCXI) was declared effective by the SEC on October 13, 2026, and Churchill XI has scheduled a special shareholders meeting for November 2, 2026 to vote on the matter.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/l4a7ncpyh89v7ulybrtaf5m5l","name":"RoboHot"},"publishedAt":"2026-10-12T16:00:00.000Z","discoveredAt":"2026-10-13T21:18:41.232Z","originalTitle":null},{"id":"l4tzv3qmnbzwhvkesj687amao","links":{"aihot":"https://robohot.news/en/items/l4tzv3qmnbzwhvkesj687amao","original":"https://x.com/pabbeel/status/1995629150082924644"},"score":76,"title":"Amazon FAR open-sources Holosoma, a full-stack sim-to-real codebase for humanoid robots","reason":"The open-source full-stack codebase covers both humanoids and quadrupeds, so researchers can directly reuse its complete pipeline from simulation training to real-world inference.","source":{"name":"Pieter Abbeel"},"summary":"Amazon FAR has released Holosoma, a full-stack solution, and open-sourced a complete codebase covering multiple simulation backends, training, motion retargeting, and real-world inference. Pieter Abbeel shared and added that the infrastructure was built for humanoid robots and can also be readily adapted into a quadruped version (the quadruped part is already included), and that it contains a great deal of infrastructure experience and convenience tools the team relies on daily.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/l4tzv3qmnbzwhvkesj687amao","name":"RoboHot"},"publishedAt":"2025-12-01T23:00:41.000Z","discoveredAt":"2026-10-17T11:32:22.912Z","originalTitle":null},{"id":"l4uoi9iva25u4022r7iwlf287","links":{"aihot":"https://robohot.news/en/items/l4uoi9iva25u4022r7iwlf287","original":"https://www.pi.website/blog/api-beta"},"score":62,"title":"Physical Intelligence opens Pi API beta, offering π model training and inference","reason":"Pi API brings data upload, fine-tuning, and hosted inference into one ready-made pipeline, helping readers weigh building their own machine learning infrastructure against calling the API directly.","source":{"name":"Physical Intelligence"},"summary":"Physical Intelligence has opened the Pi API beta, allowing developers to upload data, fine-tune π models on the company-managed compute and infrastructure, and then run inference through a hosted gateway; the current interface already offers more data-efficient fine-tuning and improvement capabilities.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/l4uoi9iva25u4022r7iwlf287","name":"RoboHot"},"publishedAt":"2026-10-12T16:00:00.000Z","discoveredAt":"2026-10-17T05:15:44.219Z","originalTitle":null},{"id":"l6ebzu8aine49qlt6xx7yxgir","links":{"aihot":"https://robohot.news/en/items/l6ebzu8aine49qlt6xx7yxgir","original":"https://www.figure.ai/news/figure-and-nscale-sign-strategic-partnership"},"score":74,"title":"Figure and Nscale Sign Strategic Agreement to Deploy Up to 100,000 NVIDIA Vera Rubin Platform GPUs","reason":"The original text provides first-hand information such as the scale of the partnership, the amounts, and the deployment timeline, which readers can use to understand Figure's specific arrangements for acquiring compute to train Helix.","source":{"name":"Figure AI"},"summary":"Figure announced a strategic partnership with Nscale to deploy up to 100,000 GPUs on the NVIDIA Vera Rubin platform, with initial deployment targeted to begin in Barstow, Texas, in the second half of 2027, an initial compute commitment of $3.5 billion and intent to expand to more than $6 billion.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/l6ebzu8aine49qlt6xx7yxgir","name":"RoboHot"},"publishedAt":"2026-09-03T06:03:00.000Z","discoveredAt":"2026-10-12T09:50:03.242Z","originalTitle":null},{"id":"l70sawxn9namomgo8oq88q4k8","links":{"aihot":"https://robohot.news/en/items/l70sawxn9namomgo8oq88q4k8","original":"https://www.magiclab.top/en/news/65"},"score":70,"title":"MagicLab analyzes Magic-Brain's in-context visual guidance design; magicVLA grasp success rate rises from 70% to 94.4%","reason":"MagicLab details the design motivation and implementation of Magic-Brain's visual guidance layer, letting readers understand the impact on grasp success rate of converting language instructions into pixel guidance.","source":{"name":"MagicLab/魔法原子"},"summary":"MagicLab introduces the visual guidance approach in the Magic-Brain framework: a VLM Agent outputs a bbox, and a segmentation model refines it into a three-color mask overlaid on the observation image, converting semantic guidance into visual guidance.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/l70sawxn9namomgo8oq88q4k8","name":"RoboHot"},"publishedAt":"2026-09-22T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:46.921Z","originalTitle":null},{"id":"le12bmq72b4k63dtrd5xzx4tq","links":{"aihot":"https://robohot.news/en/items/le12bmq72b4k63dtrd5xzx4tq","original":"https://arxiv.org/abs/2607.06988"},"score":68,"title":"WAM-TTT: Steering World-Action Models at Test Time by Watching Human Videos","reason":"The original work proposes a method for adapting a frozen world-action model at test time using only unlabeled human videos, without robot demonstrations or fine-tuning, offering methodological reference value for researchers who want to reuse it.","source":{"name":"PKU EPIC Lab"},"summary":"PKU EPIC Lab proposes WAM-TTT, a test-time training framework that steers world-action models from raw human videos without robot actions, human-side annotations, or task-specific fine-tuning. The method absorbs human videos into a lightweight adaptive memory inside a frozen WAM through self-supervised video prediction, and uses a meta-training stage with paired human-robot data and a key-value memory reconstruction objective to align human demonstrations with robot behaviors. Experiments show it consistently outperforms in-context human-video conditioning baselines across diverse manipulation tasks and generalization settings.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/le12bmq72b4k63dtrd5xzx4tq","name":"RoboHot"},"publishedAt":"2026-07-08T04:23:22.000Z","discoveredAt":"2026-10-12T09:50:33.749Z","originalTitle":null},{"id":"lem20h6mxcnec89zpm3io5kng","links":{"aihot":"https://robohot.news/en/items/lem20h6mxcnec89zpm3io5kng","original":"https://www.figure.ai/news/helix-learns-to-fold-laundry"},"score":60,"title":"Figure AI's Helix model achieves fully autonomous towel folding on a humanoid robot","reason":"The same model completes the towel-folding task with no architecture changes, relying only on added data, demonstrating a generalization path from logistics to deformable object manipulation.","source":{"name":"Figure AI"},"summary":"Figure AI's VLA model Helix fully autonomously folds towels, which the company says is the first time a multi-fingered humanoid robot has completed this task using an end-to-end neural network. With the architecture and training hyperparameters unchanged and only a new dataset added, it can pick items from a mixed towel pile, adjust its folding strategy based on the initial shape, correct multiple grasping errors, and untangle twisted towels using fine motions such as tracing edges with its thumb and pinching corners.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/lem20h6mxcnec89zpm3io5kng","name":"RoboHot"},"publishedAt":"2025-08-12T00:00:00.000Z","discoveredAt":"2026-10-12T11:50:34.746Z","originalTitle":null},{"id":"lff5guxna4ajovm859zez6qs8","links":{"aihot":"https://robohot.news/en/items/lff5guxna4ajovm859zez6qs8","original":"https://www.rob.co/resources/news/press/robco-becomes-a-unicorn"},"score":61,"title":"RobCo hits $1 billion valuation to become a unicorn, offers employee secondary liquidity","reason":"The company officially announced a valuation above $1 billion and liquidity through an employee secondary sale, offering insight into its capital cadence and US expansion plans.","source":{"name":"RobCo"},"summary":"RobCo's valuation has surpassed $1 billion, doubling within nine months, bringing in new investment through an employee secondary sale, with participation from existing investors including Sequoia and Lightspeed and new investors including Cherry Ventures. Its autonomous industrial robot Alfie will be officially commercially launched on March 4, 2027, at the RobCoN summit in Munich. The company is stepping up its push into the US market, with its CEO having relocated to the US, manufacturing and assembly operations in Austin, Texas, and a lab in San Francisco.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/lff5guxna4ajovm859zez6qs8","name":"RoboHot"},"publishedAt":"2026-10-04T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:46.269Z","originalTitle":null},{"id":"ljgwhemhyr6fnwggr3k66pmo8","links":{"aihot":"https://robohot.news/en/items/ljgwhemhyr6fnwggr3k66pmo8","original":"https://eu-robotics.net/fcc-ban-eurobotics-responds-with-open-letter/"},"score":76,"title":"FCC bans new imports of foreign advanced robots; euRobotics responds with open letter","reason":"The article sets out the three reasons for the US import ban and its two-way impact on Europe, and also gives the specific demands of the European robotics community to the European Commission.","source":{"name":"euRobotics"},"summary":"The US Federal Communications Commission (FCC) has banned new imports of foreign-made advanced robots, and the euRobotics Board has sent an open letter to the European Commission on the matter. The stated reasons for the ban include national security threats, concerns about cyberattacks, and considerations of reshoring the supply chain; euRobotics believes it will both raise the threshold for European exports to the US and may divert Chinese imports toward the European market.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/ljgwhemhyr6fnwggr3k66pmo8","name":"RoboHot"},"publishedAt":"2026-10-01T11:49:32.000Z","discoveredAt":"2026-10-17T07:15:30.181Z","originalTitle":null},{"id":"llhajq9441m7gp5mhhsi9vqrc","links":{"aihot":"https://robohot.news/en/items/llhajq9441m7gp5mhhsi9vqrc","original":"https://mp.weixin.qq.com/s/SZ3yygpCJG5wHWNxvz3_Zg"},"score":62,"title":"Puhua Capital invests 2 billion yuan in Galaxea's B+ round","reason":"From the investor's perspective, this systematically reviews Galaxea's technology roadmap, data system, and commercialization progress, serving as a sample for observing the funding cadence and implementation path of embodied intelligence companies.","source":{"name":"普华资本"},"summary":"Galaxea has completed a 2 billion yuan B+ funding round, with investment from Puhua Capital, funds under CICC Capital, Hongtai Fund, and others. This follows its 1 billion yuan B round completed in February 2026. The funds will be used for foundation model R&D and global ecosystem development.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/llhajq9441m7gp5mhhsi9vqrc","name":"RoboHot"},"publishedAt":"2026-04-08T10:15:24.000Z","discoveredAt":"2026-10-17T09:14:50.075Z","originalTitle":null},{"id":"lme5ssdrnkqh93fzk5aej7phe","links":{"aihot":"https://robohot.news/en/items/lme5ssdrnkqh93fzk5aej7phe","original":"https://arxiv.org/abs/2608.13555"},"score":66,"title":"PKU EPIC Lab releases HumanTracker humanoid motion tracking benchmark and HumanScore metric","reason":"The original work proposes a benchmark and metric that align humanoid motion tracking evaluation with human perception, and points out that existing kinematic errors miss contact issues such as foot skating.","source":{"name":"PKU EPIC Lab"},"summary":"PKU EPIC Lab proposed the HumanTracker benchmark for evaluating humanoid motion tracking, accepted to ECCV 2026. The benchmark contains approximately 153 hours of optical motion trajectories from multiple professional performers, organized into four motion families with text labels; the accompanying HumanScore metric is trained on 12K motion pairs containing 24K motions, aligns with human preferences, and can reveal contact and stability failures that kinematic metrics often miss, such as foot skating and mistimed landings.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/lme5ssdrnkqh93fzk5aej7phe","name":"RoboHot"},"publishedAt":"2026-08-13T17:59:40.000Z","discoveredAt":"2026-10-12T09:50:33.742Z","originalTitle":null},{"id":"lmnhlg0jugzvd4njrmvfi6zq4","links":{"aihot":"https://robohot.news/en/items/lmnhlg0jugzvd4njrmvfi6zq4","original":"https://www.legendcapital.com.cn/d/news/102.html"},"score":62,"title":"Benmo Technology (06731.HK) lists on HKEX, with Legend Capital as an investor","reason":"The segment market share rankings given in the article help readers understand the actual path by which direct-drive component makers are extending into full-machine commercialization.","source":{"name":"君联资本"},"summary":"Benmo Technology (06731.HK) listed on the Hong Kong Stock Exchange on September 29, and Legend Capital invested in the company in 2025. Benmo Technology centers on direct-drive technology and mainly engages in robot power modules and robot sales. By 2025 revenue, it ranked first in China's consumer robot direct-drive power module industry with a 61.1% market share, fourth in China's wheel-legged robot industry (4.7%), and second in the two-wheeled wheel-legged robot industry (18.6%).","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/lmnhlg0jugzvd4njrmvfi6zq4","name":"RoboHot"},"publishedAt":"2026-09-28T16:00:00.000Z","discoveredAt":"2026-10-17T05:13:47.270Z","originalTitle":null},{"id":"lnk3bqn9nlh82j69neu0rq9ev","links":{"aihot":"https://robohot.news/en/items/lnk3bqn9nlh82j69neu0rq9ev","original":"https://dexterity.ai/blog/foresight-evals"},"score":60,"title":"Dexterity details evaluation methods and production metrics for the Foresight packing agent","reason":"The original article fully discloses the evaluation method for the packing agent, including distribution-free confidence intervals and the evaluation bias caused by random shuffling; the method can be transferred to similar systems.","source":{"name":"Dexterity"},"summary":"Dexterity published an article introducing system evaluation and production measurement for the Foresight packing agent. On the planning side, it was tested on four real warehouse box-type distributions, with density of 0.65–0.77 and stability of 99.7–100%, and distribution-free order statistics were used to give 95% confidence intervals; the article also found that randomly shuffling the box sequence causes local variance to collapse by about 1.4 times, making evaluation overly optimistic.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/lnk3bqn9nlh82j69neu0rq9ev","name":"RoboHot"},"publishedAt":"2026-03-19T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:04.094Z","originalTitle":null},{"id":"ltoz9q85f1btfcrcwr428n2q6","links":{"aihot":"https://robohot.news/en/items/ltoz9q85f1btfcrcwr428n2q6","original":"https://www.supcon.com/news/1196.html"},"score":60,"title":"SUPCON UCS goes into operation at Qinghai Salt Lake Magnesium's 300,000-ton PVC plant, with TPT deployed alongside","reason":"The original article provides details on the retrofit window and delivery, and the transferable point is how software-hardware decoupling plus skid-mounted prefabrication can compress serial work into parallel work.","source":{"name":"中控技术"},"summary":"SUPCON's independently developed Universal Control System (UCS) has been successfully commissioned in the intelligent upgrade of Qinghai Salt Lake Magnesium's 300,000-ton ethylene-based PVC plant, making it the first large-scale UCS deployment in China's ethylene-based PVC industry; meanwhile, the TPT time-series large model has won the bid and entered the deployment and implementation phase.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/ltoz9q85f1btfcrcwr428n2q6","name":"RoboHot"},"publishedAt":"2026-10-18T16:00:00.000Z","discoveredAt":"2026-10-19T08:51:25.028Z","originalTitle":null},{"id":"m3olojc1872vxlnm7mj60w9h5","links":{"aihot":"https://robohot.news/en/items/m3olojc1872vxlnm7mj60w9h5","original":"https://apptronik.com/news-collection/apptronik-closes-over-935-million-series-a"},"score":81,"title":"Apptronik completes Series A-X financing, total Series A exceeds $935 million","reason":"The official press release provides first-hand information such as the financing structure and valuation multiples, which readers can use to understand the pace of Apptronik's mass-production expansion and its capital backing.","source":{"name":"Apptronik"},"summary":"Apptronik announced the completion of a $520 million Series A-X extension round; combined with its oversubscribed $415 million initial Series A in 2025, the total exceeds $935 million, bringing cumulative funding to nearly $1 billion.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/m3olojc1872vxlnm7mj60w9h5","name":"RoboHot"},"publishedAt":"2026-02-10T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:02.916Z","originalTitle":null},{"id":"m4c18zknuy652th2tukilwf51","links":{"aihot":"https://robohot.news/en/items/m4c18zknuy652th2tukilwf51","original":"https://mp.weixin.qq.com/s/ku-dl81rA47_oRVXy3ehEA"},"score":60,"title":"Wujie Dynamics completes over 200 million yuan Angel+ round, cumulative funding to reach 800 million yuan","reason":"The original article disclosed specific progress including the funding scale, shareholder structure, and a self-developed computing platform, which can be used to assess this new company's resources and pace of implementation.","source":{"name":"线性资本"},"summary":"General-purpose embodied intelligent robotics company Wujie Dynamics announced the completion of an over 200 million yuan Angel+ funding round, with existing shareholders Sequoia China, Linear Capital, and Hillhouse Venture Capital increasing their investment, and new institutions including Shenzhen Capital Group and Innovation Works joining. A third round is nearing completion, and cumulative funding will reach 800 million yuan.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/m4c18zknuy652th2tukilwf51","name":"RoboHot"},"publishedAt":"2026-02-14T01:07:22.000Z","discoveredAt":"2026-10-17T09:14:52.495Z","originalTitle":null},{"id":"m7ef5r6oc2xz18xuiiimsjqj9","links":{"aihot":"https://robohot.news/en/items/m7ef5r6oc2xz18xuiiimsjqj9","original":"https://x.com/StridingAI/status/2079775859494556037"},"score":68,"title":"Harness VLA open-sourced, achieves 82.4% on LIBERO-Pro","reason":"The tweet provides comparison numbers with other VLA approaches on the same benchmark, letting readers judge how much headroom a plug-in structure that does not change weights offers.","source":{"name":"正行创新 · X"},"summary":"@ChaoYuTHU has open-sourced Harness VLA, which adds a Harness Layer to organize VLA models without modifying their weights. On LIBERO-Pro, Harness VLA scores 82.4%, compared with Pi_RLinf at 50%, Berkeley RATS at 43.8%, and NVIDIA Cap-X at 18.2%. Striding AI posted this tweet and sees it as a possible sign of a shift from end-to-end VLA to Harness VLA.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/m7ef5r6oc2xz18xuiiimsjqj9","name":"RoboHot"},"publishedAt":"2026-07-22T03:49:39.000Z","discoveredAt":"2026-10-17T15:10:22.264Z","originalTitle":null},{"id":"m87fch5mmbhaaixczm8adacaw","links":{"aihot":"https://robohot.news/en/items/m87fch5mmbhaaixczm8adacaw","original":"https://www.yaskawa.co.jp/newsrelease/news/1645296"},"score":61,"title":"Yaskawa Electric builds new European Robotics Distribution Center (ERDC) in Slovenia and relocates and expands YASKAWA Ristro","reason":"The original article provides hard figures such as investment amount, floor area, and monthly production capacity, which can be used to gauge the scale of change in Yaskawa's European logistics and production capacity layout.","source":{"name":"Yaskawa（安川电机）"},"summary":"Yaskawa Electric announced that YASKAWA Europe Robotics d.o.o. will build a new logistics facility, the ERDC (European Robotics Distribution Center), in the city of Kocevje, Slovenia, and will relocate and expand YASKAWA Ristro d.o.o., currently located in the city of Ribnica, to the same site, consolidating development, production, and systems operations.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/m87fch5mmbhaaixczm8adacaw","name":"RoboHot"},"publishedAt":"2026-07-01T05:00:14.000Z","discoveredAt":"2026-10-17T05:14:49.266Z","originalTitle":null},{"id":"mbqdts06o0t4hbwqrkn2hucx7","links":{"aihot":"https://robohot.news/en/items/mbqdts06o0t4hbwqrkn2hucx7","original":"https://arxiv.org/abs/2610.31762"},"score":78,"title":"RepresentNav: A Navigation Foundation Model Built on a Self-Constructed Representation Space","reason":"The paper proposes constructing a visual representation space using the policy's own objectives and predicting future scene representations within it, offering transferable ideas for the representation design of navigation policies.","source":{"name":"arXiv cs.RO"},"summary":"The authors propose RepresentNav, a navigation foundation model that uses Representation Residuals, a three-layer transformer, to aggregate full-depth features from multiple vision foundation models and construct a representation space driven by the policy's own objectives.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/mbqdts06o0t4hbwqrkn2hucx7","name":"RoboHot"},"publishedAt":"2026-10-26T04:00:00.000Z","discoveredAt":"2026-10-26T04:01:21.838Z","originalTitle":null},{"id":"mmeetlua3pyhjhtslkfprqp6i","links":{"aihot":"https://robohot.news/en/items/mmeetlua3pyhjhtslkfprqp6i","original":"https://mp.weixin.qq.com/s/OBBuCWvwV81fFIlc38LWjA"},"score":60,"title":"Puhua Capital Joins Over $100 Million Angel Round in Qiuzhi Technology, Setting Single-Deal Record in Consumer-Grade Embodied Robotics","reason":"The original article provides the financing size, the record-setting positioning, and the use of funds, allowing readers to judge the current capital enthusiasm and mass-production pace in the consumer-grade embodied robotics sector.","source":{"name":"普华资本"},"summary":"Qiuzhi Technology (DISCOVER Robotics) announced the completion of an angel round exceeding $100 million, setting the record for the largest single angel round in the consumer-grade embodied robotics sector. Puhua Capital participated in the investment, alongside other investors including Legend Capital, Xinchang Investment, Lenovo Capital and Incubator Group, Yunbo Capital, Lingang Science and Technology Innovation Investment, Amber Capital, and Gengxin Capital. The funds will mainly be used to accelerate the launch and mass production of consumer-grade embodied robotics products.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/mmeetlua3pyhjhtslkfprqp6i","name":"RoboHot"},"publishedAt":"2026-07-01T02:17:01.000Z","discoveredAt":"2026-10-17T09:14:49.956Z","originalTitle":null},{"id":"mosf0fjcvhl9nqw3zout0mmqa","links":{"aihot":"https://robohot.news/en/items/mosf0fjcvhl9nqw3zout0mmqa","original":"https://bostondynamics.com/blog/the-missing-piece-of-your-ai-stack/"},"score":66,"title":"Boston Dynamics releases Spot 5.2 and Orbit update, connecting factory AI data around assets","reason":"The original article details the specific changes in Spot 5.2 regarding data connectivity, inspection modalities, and predictive maintenance, allowing readers to assess whether to update their own deployments.","source":{"name":"Boston Dynamics"},"summary":"Boston Dynamics has released Spot 5.2, positioned as a middle layer connecting the various AI systems in a factory. The Orbit software has been restructured to organize data around assets, can import asset hierarchies and link them to inspections, supports connecting external data sources such as PLC sensors and security cameras, and adds an MCP layer for AI agents to autonomously schedule Spot deployments.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/mosf0fjcvhl9nqw3zout0mmqa","name":"RoboHot"},"publishedAt":"2026-09-10T13:00:00.000Z","discoveredAt":"2026-10-12T09:50:04.218Z","originalTitle":null},{"id":"mpp4isbhrsntspw7ox6xnfl6c","links":{"aihot":"https://robohot.news/en/items/mpp4isbhrsntspw7ox6xnfl6c","original":"https://mp.weixin.qq.com/s/RO40xo0i9hZSdRN8fYIO1g"},"score":62,"title":"Wujie Dynamics completes 300 million yuan angel round led by Sequoia China and Linear Capital","reason":"It lays out the funding structure and team background, which readers can use to judge this new company's technology approach and pace of deployment.","source":{"name":"线性资本"},"summary":"General-purpose embodied intelligent robotics company Wujie Dynamics announced on November 10 that it has completed a first angel funding round of 300 million yuan, led by Sequoia China and Linear Capital, with participation from Hillhouse Ventures, Horizon Robotics, Huaye Tiancheng, Zhongding Capital, BV Baidu Ventures, Tongge Venture Capital and others. Its angel+ round is nearing completion, bringing cumulative funding to over 500 million yuan.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/mpp4isbhrsntspw7ox6xnfl6c","name":"RoboHot"},"publishedAt":"2025-11-10T01:31:48.000Z","discoveredAt":"2026-10-17T09:14:52.687Z","originalTitle":null},{"id":"mvg78kgruzfjmcataa1qxt5ip","links":{"aihot":"https://robohot.news/en/items/mvg78kgruzfjmcataa1qxt5ip","original":"https://www.pi.website/blog/pi07"},"score":77,"title":"Physical Intelligence releases steerable general-purpose robot model π0.7, demonstrating compositional generalization","reason":"The article uses two specific experiments, an air fryer and folding clothes with a UR5e, to show the actual performance of compositional generalization and cross-embodiment transfer, making it easier to judge the gap between general-purpose and specialized models.","source":{"name":"Physical Intelligence"},"summary":"Physical Intelligence has released the general-purpose robot model π0.7, which it says can perform a variety of dexterous manipulations with speed and robustness comparable to fine-tuned specialized models, and shows preliminary signs of compositional generalization on tasks not seen in its training data.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/mvg78kgruzfjmcataa1qxt5ip","name":"RoboHot"},"publishedAt":"2026-04-15T16:00:00.000Z","discoveredAt":"2026-10-17T05:15:44.228Z","originalTitle":null},{"id":"mx1siy3vzxn162sgj16gd1p1x","links":{"aihot":"https://robohot.news/en/items/mx1siy3vzxn162sgj16gd1p1x","original":"https://mp.weixin.qq.com/s/CAFdj_ZRditw5SfE308gSQ"},"score":60,"title":"White Rhino completes Series C1 funding to accelerate global rollout of automotive-grade RoboVan","reason":"It reviews White Rhino's production and scenario deployment pace before and after the funding, helping assess how the capital injection corresponds to its commercialization progress.","source":{"name":"线性资本"},"summary":"Recently, automotive-grade RoboVan company White Rhino announced the completion of its Series C1 funding round. On May 6, it disclosed investors including a leading global logistics industry capital, Shenzhen Nanshan Zhanxintou, and existing shareholder Yuanhe Houwang. The funds will mainly be used for core technology R&D and iteration, large-scale production of automotive-grade products, multi-scenario commercialization, and global market expansion.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/mx1siy3vzxn162sgj16gd1p1x","name":"RoboHot"},"publishedAt":"2026-05-07T03:53:10.000Z","discoveredAt":"2026-10-17T09:14:52.370Z","originalTitle":null},{"id":"n4k8cwzidf4dzzyxpcdb8esr2","links":{"aihot":"https://robohot.news/en/items/n4k8cwzidf4dzzyxpcdb8esr2","original":"https://www.sunday.ai/blog/act-2-preview"},"score":78,"title":"Sunday Robotics previews ACT-2 model with 99.1% zero-shot success rate in clothes folding","reason":"The official disclosure provides detailed quantitative data on pretraining scale and generalization gaps, allowing readers to understand how a small amount of demonstration data transfers to unseen environments.","source":{"name":"Sunday Robotics"},"summary":"Sunday Robotics previewed its robot model ACT-2, which achieved a 99.1% (±0.3%) zero-shot success rate in clothes folding across diverse unseen home environments with zero per-home adaptation, covering 9 clothing categories across 785 autonomous attempts, with an average folding quality of 4.72/5.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/n4k8cwzidf4dzzyxpcdb8esr2","name":"RoboHot"},"publishedAt":"2026-07-16T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:38.305Z","originalTitle":null},{"id":"n8rs717iofcg63sgojpsv99nb","links":{"aihot":"https://robohot.news/en/items/n8rs717iofcg63sgojpsv99nb","original":"https://robot.hit.edu.cn/2026/0901/c287a400512/page.htm"},"score":73,"title":"HIT's Li Tianlong team publishes research in Science Advances on magnetically controlled CD5+ dendritic cell microrobot immunotherapy","reason":"The HIT team presents the construction strategy and magnetic navigation results of the CD5+ dendritic cell microrobot, giving readers a look at the specific approach of this therapeutic path of in situ immune activation.","source":{"name":"Harbin Institute of Technology Robotics"},"summary":"Li Tianlong's team at Harbin Institute of Technology (HIT) developed an engineered microrobot system based on CD5+ dendritic cells that can achieve precise intravascular navigation through external magnetic field control and activate immune cells in situ; the results were published in Science Advances. Under a conical magnetic field, the system self-assembles into a ribbon-like swarm that migrates downstream; under a rotating magnetic field, it assembles into a chain-like swarm that moves upstream against blood flow; combined with tumor chemotaxis, it achieves targeted enrichment and deep infiltration. In an orthotopic mouse colorectal cancer model, a single injection combined with magnetic navigation reduced the tumor bioluminescence signal by more than 90%. HIT is the first affiliation of the paper.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/n8rs717iofcg63sgojpsv99nb","name":"RoboHot"},"publishedAt":"2026-08-31T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:10.755Z","originalTitle":null},{"id":"n9tsupuj7gvt416gpnkl5csew","links":{"aihot":"https://robohot.news/en/items/n9tsupuj7gvt416gpnkl5csew","original":"https://www.lavenderhillcapital.com/post/elite-robot-closes-rmb-600-million-d-financing-round"},"score":61,"title":"Elite Robots Completes RMB 600 Million D+ Funding Round","reason":"The funds cover three areas at once: R&D, overseas channels, and production capacity, which readers can use to gauge where cobot makers are currently focusing their expansion.","source":{"name":"Lavender Hill Capital Partners"},"summary":"Chinese collaborative robot manufacturer Elite Robots has completed a RMB 600 million D+ funding round, led by several Chinese institutions including Lavender Hill Capital Partners, Fortune Capital, Yuanhe Holdings, Yuanfeng Capital, and the Zhengzhou Embodied Intelligence Industry Fund.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/n9tsupuj7gvt416gpnkl5csew","name":"RoboHot"},"publishedAt":"2026-03-25T09:52:08.000Z","discoveredAt":"2026-10-17T05:11:50.536Z","originalTitle":null},{"id":"nblgsqyokrejzvfmos9q7dfgj","links":{"aihot":"https://robohot.news/en/items/nblgsqyokrejzvfmos9q7dfgj","original":"https://mp.weixin.qq.com/s?__biz=MzU1MjY4MTA1MQ==&mid=2247752465&idx=1&sn=f189ad91b43d65bd9778a1c407d24f51&chksm=fa485d72addd996c5d32e884c266b957ffc9ab24ef14462f8211db8dae692c828627e942a174&scene=126&sessionid=1792662052#rd"},"score":76,"title":"SenseTime and joint team evaluate GPT-6-Astra embodied capabilities, open-source SenseNova-RoboRSI framework and 27B model","reason":"The report breaks model capabilities into testable conditions and provides harness ablation data, so readers can judge the real bottlenecks in embodied capability evaluation and cost.","source":{"name":"3D视觉工坊 · 微信公众号"},"summary":"A joint team including SenseTime and The Hong Kong University of Science and Technology (Guangzhou) released the report \"Has GPT-6-Astra Achieved Embodied Intelligence?\", systematically evaluating GPT-6-Astra's embodied capabilities across 12 benchmarks, and simultaneously open-sourced the SenseNova-RoboRSI evaluation framework and a 27B embodied model.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/nblgsqyokrejzvfmos9q7dfgj","name":"RoboHot"},"publishedAt":"2026-10-21T23:00:00.000Z","discoveredAt":"2026-10-22T09:40:59.634Z","originalTitle":null},{"id":"nbsf69i6cs2dy5kfaniuyp7k0","links":{"aihot":"https://robohot.news/en/items/nbsf69i6cs2dy5kfaniuyp7k0","original":"https://mp.weixin.qq.com/s/hVY7LGiWFy2_nkoyDStCYw"},"score":60,"title":"Lumos Robotics completes several hundred million yuan A1 and A2 funding rounds, with Mitsubishi Electric leading both","reason":"The original text provides details on the funding structure and industrial partnerships, allowing readers to understand its industrial deployment path and data-collection technology layout.","source":{"name":"Lumos Robotics/鹿明机器人"},"summary":"Lumos Robotics has completed several hundred million yuan in A1 and A2 funding. The A1 round was led by Mitsubishi Electric, with participation from Puhua Capital and Wuzhong Financial Holdings, among others. Mitsubishi Electric continued to lead the A2 round, with participation from Hundsun Electronics, Haigao Group, and Kunshi Investment, among others. The funding will be used for embodied large-model R&D and scenario expansion. After the funding, the company's cash reserves reached several hundred million yuan. Its flexible quality-inspection embodied intelligence solution, co-created with Mitsubishi Electric, has been put into trial use at Mitsubishi Electric's factory in China. Its self-developed Lumos Nexcore physical AI engine and bodyless data-collection system Lumos FastUMI Pro support industrial deployment and data feedback.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/nbsf69i6cs2dy5kfaniuyp7k0","name":"RoboHot"},"publishedAt":"2026-05-11T03:29:39.000Z","discoveredAt":"2026-10-12T09:50:55.241Z","originalTitle":null},{"id":"ncpglhxa6s5u3roplmmit9wb4","links":{"aihot":"https://robohot.news/en/items/ncpglhxa6s5u3roplmmit9wb4","original":"https://www.agile-robots.com/en/news/detail/agile-robots-and-audi-to-transform-automotive-logistics/"},"score":62,"title":"Agile Robots and Audi pilot mobile humanoid robot parts sorting at Ingolstadt plant","reason":"The original text explains the validation process in which a virtual twin precedes physical deployment, letting readers understand the practical path for humanoid robots entering automotive logistics.","source":{"name":"Agile Robots/思灵机器人"},"summary":"Agile Robots, Audi, Dassault Systèmes and NVIDIA announced a proof-of-concept collaboration at NVIDIA GTC Berlin to use mobile humanoid robots for parts picking and sequencing at Audi's Ingolstadt plant for final vehicle assembly.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/ncpglhxa6s5u3roplmmit9wb4","name":"RoboHot"},"publishedAt":"2026-10-21T13:00:00.000Z","discoveredAt":"2026-10-21T12:08:43.830Z","originalTitle":null},{"id":"nd4s1eleo7enltrxzf7cm6bua","links":{"aihot":"https://robohot.news/en/items/nd4s1eleo7enltrxzf7cm6bua","original":"https://www.deeprobotics.cn/robot/index/article/id/293.html"},"score":60,"title":"DEEP Robotics Lynx S10 prototype completes Arctic Ocean ice-surface and ice-water tests aboard research vessel","reason":"The original article provides the specific test conditions and hardware modifications for the Lynx S10's walking on Arctic Ocean ice and operation in ice water, helping readers understand how quadruped robots are adapted for polar scenarios.","source":{"name":"Deep Robotics/云深处科技"},"summary":"DEEP Robotics' small wheeled-legged robot, the Lynx S10 prototype, completed a 76-day, 11,852-nautical-mile Arctic Ocean research test aboard Sun Yat-sen University's Polar Research Vessel Zhongshan, marking the first time a quadruped robot has set foot on Arctic Ocean ice. The unit, weighing under 20 kg including its battery, was fitted with anti-slip bionic feet mimicking polar bear paws in collaboration with Sun Yat-sen University, Westlake University, and Hangzhou Dianzi University, and completed crawling and motion-control tests with crampons; the body uses an IP67 integrated sealed design, and after increasing the surface area of its limbs for paddling, it completed swimming tests in ice water.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/nd4s1eleo7enltrxzf7cm6bua","name":"RoboHot"},"publishedAt":"2026-06-08T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:43.675Z","originalTitle":null},{"id":"nk77gg69qsu1o2zhrnfr26903","links":{"aihot":"https://robohot.news/en/items/nk77gg69qsu1o2zhrnfr26903","original":"https://rainbow-robotics.com/edaily-from-factory-automation-to-the-home-samsung-unveils-roadmap-for-commercializing-robots/"},"score":61,"title":"Samsung unveils robot commercialization roadmap and Metro-WM world model at Samsung AI Forum 2026","reason":"The article presents the per-unit cost breakdown of humanoid robots and the success-rate threshold for factory scenarios, which can be used to compare and understand differences in manufacturers' commercialization paths.","source":{"name":"Rainbow Robotics"},"summary":"At Samsung AI Forum 2026, held at its Seoul headquarters, Samsung Electronics unveiled a robot commercialization roadmap led by its newly established RX (Robot eXperience) Business Promotion Office, combining robot foundation model (RFM) and world model technology to first advance automation at its own more than 100 factories and more than 100 production lines, before entering the home assistant robot market.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/nk77gg69qsu1o2zhrnfr26903","name":"RoboHot"},"publishedAt":"2026-10-02T03:06:39.000Z","discoveredAt":"2026-10-17T05:08:08.838Z","originalTitle":null},{"id":"nkxuwqvrvxe3bny40xpzqzvl1","links":{"aihot":"https://robohot.news/en/items/nkxuwqvrvxe3bny40xpzqzvl1","original":"https://www.agilityrobotics.com/content/churchill-capital-corp-xi-shareholders-approve-business-combination-with-agility-robotics"},"score":65,"title":"Churchill Capital Corp XI Shareholders Approve Merger with Agility Robotics","reason":"The deal discloses the composition of Agility's pre-listing fundraising and the closing timetable, which can be used to observe the capital path of humanoid robotics companies.","source":{"name":"Agility Robotics"},"summary":"Churchill Capital Corp XI shareholders approved the business combination with Agility Robotics with more than 84% of votes in favor; the transaction is expected to close on November 4.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/nkxuwqvrvxe3bny40xpzqzvl1","name":"RoboHot"},"publishedAt":"2026-11-01T16:00:00.000Z","discoveredAt":"2026-11-02T22:46:06.717Z","originalTitle":null},{"id":"nlh7ap03mv3cuwijg9oqxh24g","links":{"aihot":"https://robohot.news/en/items/nlh7ap03mv3cuwijg9oqxh24g","original":"https://www.ubtrobot.com/en/about/news/826577556529221"},"score":63,"title":"UBTECH and Hitachi (China) Reach Strategic Partnership; Walker S2 Enters Hitachi Elevator Workshop for Field Testing","reason":"The collaboration has entered the real-machine validation phase, with Walker S2 already being tested in a Hitachi Elevator workshop, giving readers a way to understand the progress of humanoid robots being deployed in manufacturing.","source":{"name":"UBTECH Robotics"},"summary":"UBTECH and Hitachi (China) have signed a strategic cooperation agreement to explore humanoid robot applications in intelligent manufacturing, and the collaboration has entered a substantive validation phase. Hitachi has introduced UBTECH's industrial-grade humanoid robot Walker S2 into some manufacturing environments for on-site testing, and Hitachi China Research Institute, Hitachi Elevator, and UBTECH are conducting secondary development for this scenario in an elevator manufacturing workshop. The two sides will also carry out in-depth cooperation in fields including elevators, building systems, healthcare, industrial equipment, and semiconductor manufacturing equipment, and will jointly research the practical application and mass production of humanoid robots.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/nlh7ap03mv3cuwijg9oqxh24g","name":"RoboHot"},"publishedAt":"2026-07-13T00:00:00.000Z","discoveredAt":"2026-10-12T09:50:02.592Z","originalTitle":null},{"id":"nnqiisgrux0yci4qu1hulstmp","links":{"aihot":"https://robohot.news/en/items/nnqiisgrux0yci4qu1hulstmp","original":"https://www.sunday.ai/blog/series-b"},"score":69,"title":"Sunday Robotics closes $165 million Series B to advance real-world deployment of home robot Memo","reason":"The company announced the funding and disclosed the beta program timeline and the scale of team expansion, giving readers a basis for understanding the pace of its shift to real-world deployment.","source":{"name":"Sunday Robotics"},"summary":"Sunday Robotics has closed an oversubscribed $165 million Series B at a valuation of $1.15 billion, led by Coatue, with Thomas Laffont joining the board. The company will stop giving demos and focus on real-world deployment of its robot Memo, with a beta program opening to users this fall. Its engineering team has grown 3x, research 4x, and data operations 5x, and the company says it has a full stack from its Skill Capture Glove and in-house hardware to manufacturing, along with data advantages.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/nnqiisgrux0yci4qu1hulstmp","name":"RoboHot"},"publishedAt":"2026-03-11T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:38.332Z","originalTitle":null},{"id":"nov2u0wmrgcj7fxii71kwffh6","links":{"aihot":"https://robohot.news/en/items/nov2u0wmrgcj7fxii71kwffh6","original":"https://mp.weixin.qq.com/s/E9f_9M_tRBs6LsrJe8SFVw"},"score":62,"title":"Yunqi Capital roundtable transcript: Manycore, Shengshu, and Galbot discuss the next paradigm after Agentic AI","reason":"The three guests' disagreements over the world-model approach and their differing judgments on the pace of deployment offer a multi-party reference for understanding the Physical AI debate.","source":{"name":"云启资本"},"summary":"Yunqi Capital released a transcript of a roundtable at Tencent WAIC Night, hosted by Managing Partner Chen Yu, in which Huang Xiaohuang of Manycore, Luo Yihang of Shengshu Technology, and Zhang Zhizheng of Galbot discussed the next paradigm after Agentic AI.","category":"opinion","selected":true,"attribution":{"url":"https://robohot.news/en/items/nov2u0wmrgcj7fxii71kwffh6","name":"RoboHot"},"publishedAt":"2026-07-20T09:17:46.000Z","discoveredAt":"2026-10-17T09:13:46.927Z","originalTitle":null},{"id":"nppaqf7szqox9ienlk1121z7t","links":{"aihot":"https://robohot.news/en/items/nppaqf7szqox9ienlk1121z7t","original":"https://blogs.nvidia.com/blog/cosmos-open-train-evaluate-deploy-world-models/"},"score":75,"title":"NVIDIA Cosmos Expands with New Tools for Training, Evaluating and Deploying World Models","reason":"The original lists Cosmos's new training tools, simulation checkpoints and data blueprints, and gives specific data on users such as Porsche and ANYbotics, which can be used to assess changes in the world model development workflow.","source":{"name":"NVIDIA"},"summary":"NVIDIA has expanded the Cosmos platform with new training tools, simulation checkpoints and Cosmos Data Factory blueprints for training, evaluating and deploying world models.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/nppaqf7szqox9ienlk1121z7t","name":"RoboHot"},"publishedAt":"2026-10-22T05:00:27.000Z","discoveredAt":"2026-10-26T14:40:27.851Z","originalTitle":null},{"id":"nrntqrnej7fidsnatpv3fygl5","links":{"aihot":"https://robohot.news/en/items/nrntqrnej7fidsnatpv3fygl5","original":"https://www.58znkj.com/new-detail/67"},"score":61,"title":"58 Intelligence leads drafting of two national standards for quadruped robots, including Technical Specifications for Quadruped Robots","reason":"The two standards target general technical requirements and energy consumption test methods respectively, giving readers a view of the scope and quantification direction covered by the first batch of the national standards framework for quadruped robots.","source":{"name":"五八智能"},"summary":"The Technical Specifications for Quadruped Robots (plan number: 20263912-T-604), led by 58 Intelligence Technology (Hangzhou) Co., Ltd., and the Energy Consumption Test Methods for Quadruped Robots (plan number: 20263262-T-604), in whose drafting the company is a core participant, have both passed the project approval public notice stage. The standards are administered by the National Technical Committee 591 on Robotics of Standardization Administration of China (TC591) and supervised by the China Machinery Industry Federation.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/nrntqrnej7fidsnatpv3fygl5","name":"RoboHot"},"publishedAt":"2026-08-05T16:00:00.000Z","discoveredAt":"2026-10-17T05:07:58.239Z","originalTitle":null},{"id":"nryh6gs4r8oolx7aevalbk53l","links":{"aihot":"https://robohot.news/en/items/nryh6gs4r8oolx7aevalbk53l","original":"https://singularityhub.com/2026/09/29/this-robot-dog-crushed-a-marathon-without-stopping-to-recharge/"},"score":76,"title":"KAIST quadruped robot RAIBO2 completes marathon without battery swap, ~40 miles per charge","reason":"The research moves energy saving for legged robots from optimizing single components to holistic design across joints and circuits, offering concrete methods transferable to long-duration outdoor robots.","source":{"name":"Singularity Hub"},"summary":"KAIST's quadruped robot RAIBO2 finished the Persimmon Marathon in Sangju, South Korea, in 4 hours 19 minutes 52 seconds, slightly faster than the human average, without swapping or recharging its battery, and still had 34% charge at the finish; the team described the work in a Nature paper last week.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/nryh6gs4r8oolx7aevalbk53l","name":"RoboHot"},"publishedAt":"2026-09-29T20:19:08.000Z","discoveredAt":"2026-10-17T05:14:50.213Z","originalTitle":null},{"id":"nt8eqy1mf1b9yv640b2wvxoyo","links":{"aihot":"https://robohot.news/en/items/nt8eqy1mf1b9yv640b2wvxoyo","original":"https://www.leiphone.com/category/robot/sRmmVes4DwBoIeRm.html"},"score":78,"title":"Columbia's Yunzhu Li team presents FlexiTac open-source tactile sensor progress at IROS 2026","reason":"From sensor design and simulation calibration to UMI data collection, it presents a complete technical path toward scaling tactile perception.","source":{"name":"Leiphone Robotics"},"summary":"At IROS 2026, Columbia University's Yunzhu Li team presented progress on FlexiTac, an open-source flexible piezoresistive tactile sensor platform, a year and a half after its open-source release. The sensor can be assembled in 3 minutes, bent and cut, and wrapped around gloves, fingertips, or robot skin. The team has integrated it into LeRobot and modified the UMI handheld device to add tactile recording, enabling synchronized visual-tactile data collection and policy pretraining. ADI is advancing a commercial version with tactile resolution five times that of a human finger, manufactured at scale using semiconductor fabrication processes.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/nt8eqy1mf1b9yv640b2wvxoyo","name":"RoboHot"},"publishedAt":"2026-10-30T08:13:00.000Z","discoveredAt":"2026-10-30T08:29:19.620Z","originalTitle":null},{"id":"nvu2yukz9vh45w8aqqdapvz0e","links":{"aihot":"https://robohot.news/en/items/nvu2yukz9vh45w8aqqdapvz0e","original":"https://www.skild.ai/blogs/skild-crosses-100m-arr"},"score":79,"title":"Skild AI annual recurring revenue tops $100 million, outlines deployment-first robotics strategy","reason":"Beyond the company's self-reported revenue milestone, it also offers concrete lessons on how deployment in turn shapes model research, which is useful for understanding the relationship between real-world deployment and research.","source":{"name":"Skild AI"},"summary":"Skild AI announced that its annual recurring revenue (ARR) has surpassed $100 million, of which $50 million was confirmed within 10 months of starting deployments. It has more than 60 paying customers, covering material handling, delivery, inspection, security, food service, and warehouse, factory, and data center scenarios; about 90% of revenue comes from manipulation tasks, with mobility accounting for 10% (of which AMR solutions account for 4%).","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/nvu2yukz9vh45w8aqqdapvz0e","name":"RoboHot"},"publishedAt":"2026-09-09T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:06.234Z","originalTitle":null},{"id":"nwhmrikmqb1ydztbp231kilz0","links":{"aihot":"https://robohot.news/en/items/nwhmrikmqb1ydztbp231kilz0","original":"https://mp.weixin.qq.com/s?__biz=MzU3NjAxMTM4NA==&mid=2247515224&idx=1&sn=167c19e0665ada2dc596c577910d7707&chksm=fc0ef7881ebd3652196e3bd2c149f7c06e1609860771a868807644f48c5cbd98e4c4efe6cb48&scene=126&sessionid=1792860023#rd"},"score":65,"title":"Elite embodied dual-arm robots enter Apple supply chain drilling workshops for mass-production loading and unloading","reason":"The original text provides the takt time, yield, and deployment period for dual-arm loading and unloading in an Apple supply chain drilling workshop, which can be compared with single-arm and humanoid approaches to assess engineering trade-offs.","source":{"name":"艾利特机器人 · 微信公众号"},"summary":"An embodied dual-arm composite loading and unloading robot jointly developed by Elite and Maixing Robotics has been running in mass production in the drilling workshop of a leading Apple supply chain factory, with a single-cycle takt time of 52 seconds and a loading/unloading yield of 99.9%; the first unit has run continuously for more than a year, and 5 units are online simultaneously.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/nwhmrikmqb1ydztbp231kilz0","name":"RoboHot"},"publishedAt":"2026-08-11T10:00:00.000Z","discoveredAt":"2026-10-24T16:40:26.085Z","originalTitle":null},{"id":"nxbne1psh7e87da7y0onyfq1b","links":{"aihot":"https://robohot.news/en/items/nxbne1psh7e87da7y0onyfq1b","original":"https://huggingface.co/papers/2610.34356"},"score":80,"title":"RynnVLA-Latent: Scaling robotic manipulation foundation models with 3D latent actions","reason":"This work converts heterogeneous interaction videos into 3D latent action supervision, offering a reusable data pathway for VLA pretraining that bypasses the scarcity of action annotations.","source":{"name":"HuggingFace Daily Papers"},"summary":"The research team proposes the RynnVLA-Latent framework, which uses RynnLAM to learn continuous, 3D-grounded latent actions from visual changes without requiring native robot control signals. The method processes 30.1K hours of human, robot, and simulation video, generating 745.52M latent action descriptors, then uses flow matching to predict latent action chunks and adapt them to specific embodiments.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/nxbne1psh7e87da7y0onyfq1b","name":"RoboHot"},"publishedAt":"2026-10-25T00:00:00.000Z","discoveredAt":"2026-10-27T04:22:23.698Z","originalTitle":null},{"id":"nyk17x6r0br2b2g3e3gfk24zb","links":{"aihot":"https://robohot.news/en/items/nyk17x6r0br2b2g3e3gfk24zb","original":"https://arxiv.org/abs/2606.06953"},"score":61,"title":"PKU EPIC Lab proposes LIMMT, a data-centric study for humanoid motion tracking, accepted to ICML 2026","reason":"The paper presents a three-dimensional data quality framework and results from training on a small amount of data, offering a methodological reference for researchers working on humanoid motion tracking.","source":{"name":"PKU EPIC Lab"},"summary":"PKU EPIC Lab released LIMMT (Less Is More for Motion Tracking), which it describes as the first data-centric study for physics-based simulated humanoid motion tracking. The method defines motion data quality along three dimensions: physics feasibility, diversity, and complexity. Training on less than 3% of AMASS achieves better tracking performance than training on the full dataset, and the team also cleaned web-sourced mocap data. The paper has been accepted to ICML 2026; see arXiv:2606.06953.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/nyk17x6r0br2b2g3e3gfk24zb","name":"RoboHot"},"publishedAt":"2026-06-05T06:33:09.000Z","discoveredAt":"2026-10-12T09:50:33.764Z","originalTitle":null},{"id":"o6wjoxr6rezuj7m81ma9q2qqq","links":{"aihot":"https://robohot.news/en/items/o6wjoxr6rezuj7m81ma9q2qqq","original":"https://x.com/GenrobotAI/status/2113299342425747638"},"score":73,"title":"Genrobot open-sources Gen-HumanWholeBody first-person whole-body manipulation dataset","reason":"The original text provides the dataset's scale, precision, and open-access entry point, which readers can use to assess its usability for whole-body motion learning research.","source":{"name":"简智机器人 · X"},"summary":"Genrobot has released and open-sourced Gen-HumanWholeBody, a first-person whole-body manipulation dataset it says has the industry's highest precision, hosted on Hugging Face. The dataset contains 600 hours of whole-body manipulation data, approximately 3 cm whole-body MPJPE, 16,976 real-world scenes, and 1,281 human skills, and is open for research on whole-body motion learning, human-to-robot transfer, and embodied foundation models.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/o6wjoxr6rezuj7m81ma9q2qqq","name":"RoboHot"},"publishedAt":"2026-10-22T16:00:01.000Z","discoveredAt":"2026-10-22T16:20:16.577Z","originalTitle":null},{"id":"oc0lwxsgt0enbwy5ead1ln341","links":{"aihot":"https://robohot.news/en/items/oc0lwxsgt0enbwy5ead1ln341","original":"https://x.com/physical_int/status/1990574901795979577"},"score":68,"title":"Physical Intelligence releases π0.6 model that can learn from its own experience via reinforcement learning","reason":"The original text provides a comparison showing more than double the throughput of a baseline model not trained with reinforcement learning, as well as the scope of three types of real-world tasks.","source":{"name":"Physical Intelligence Social"},"summary":"Physical Intelligence has released a new model, π0.6, which can learn from its own experience through reinforcement learning (RL). Compared with a baseline model not trained with RL, π0.6 can more than double throughput and can perform real-world tasks, including making espresso drinks, folding various garments, and assembling cardboard boxes.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/oc0lwxsgt0enbwy5ead1ln341","name":"RoboHot"},"publishedAt":"2025-11-18T00:16:54.000Z","discoveredAt":"2026-10-17T11:15:23.089Z","originalTitle":null},{"id":"odqzunej5g2j5njiwps6oohu0","links":{"aihot":"https://robohot.news/en/items/odqzunej5g2j5njiwps6oohu0","original":"https://mp.weixin.qq.com/s/w0WF9LCDyupvO5Oce9dfcA"},"score":62,"title":"Manycore Tech Passes HKEX Listing Hearing; Linear Capital Was Earliest Angel Investor","reason":"It reviews Manycore Tech's path from spatial design software to a spatial intelligence service provider, and the place of its synthetic 3D data and spatial models in embodied intelligence training.","source":{"name":"线性资本"},"summary":"Manycore Tech Inc. has passed the Hong Kong Stock Exchange listing hearing, disclosing its post-hearing information package on March 29. JPMorgan and CCB International are joint sponsors. It will become the first tech company among the \"Hangzhou Six Little Dragons\" to complete an IPO.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/odqzunej5g2j5njiwps6oohu0","name":"RoboHot"},"publishedAt":"2026-03-29T12:56:14.000Z","discoveredAt":"2026-10-17T09:14:52.427Z","originalTitle":null},{"id":"oenezni1ost9y82hhhb80jmaf","links":{"aihot":"https://robohot.news/en/items/oenezni1ost9y82hhhb80jmaf","original":"https://www.realsenseai.com/perception-studio/enhancing-robotic-safety-with-on-camera-people-detection/"},"score":74,"title":"RealSense D585 Pro On-Device Human Detection: Ranging Principles and Safety Architecture Usage","reason":"The article breaks down why on-device detection does not use neural-network ranging and provides a detection distance table for different postures, which can be used directly for safety zone design.","source":{"name":"RealSense"},"summary":"RealSense explains D585 Pro on-device human detection: the detection model runs on its Gen5 Vision SoC and outputs JSON metadata at 30 fps with class, confidence, pixel box, and millimeter-level distance, without needing a host GPU.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/oenezni1ost9y82hhhb80jmaf","name":"RoboHot"},"publishedAt":"2026-10-13T17:33:44.000Z","discoveredAt":"2026-10-17T05:11:57.225Z","originalTitle":null},{"id":"ok2hb1h5voqy8rg6dn0x3adkk","links":{"aihot":"https://robohot.news/en/items/ok2hb1h5voqy8rg6dn0x3adkk","original":"https://arxiv.org/abs/2609.12898"},"score":64,"title":"PKU EPIC Lab proposes UniPart for zero-shot language-driven 3D part segmentation","reason":"The paper presents a text-driven 3D part segmentation method and a self-built dataset, and validates transfer to real-world language-conditioned grasping.","source":{"name":"PKU EPIC Lab"},"summary":"PKU EPIC Lab proposes UniPart, a feed-forward cross-modal 3D Transformer conditioned on CLIP text embeddings that uses free-text phrases to select functional parts on point clouds, achieving zero-shot language-driven 3D part segmentation.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/ok2hb1h5voqy8rg6dn0x3adkk","name":"RoboHot"},"publishedAt":"2026-09-11T14:25:17.000Z","discoveredAt":"2026-10-12T09:50:33.695Z","originalTitle":null},{"id":"oq752sjwhcblohseuswm5y1pe","links":{"aihot":"https://robohot.news/en/items/oq752sjwhcblohseuswm5y1pe","original":"https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2651069946&idx=1&sn=d42dad491ebe2a7fa667b1048ff67622&chksm=85511ac9fc41e5bae386127c478a97b3c7a870f62fafacd09ba78d072fe0fc8ed74c1b4118e5&scene=126&sessionid=1792925131#rd"},"score":76,"title":"Tsinghua team builds HandsOn dexterous manipulation benchmark with 66 tasks to evaluate robot bimanual capabilities","reason":"Readers can learn why dexterous manipulation evaluation should distinguish execution from transfer, and which specific failure points current multi-task policies have on bimanual collaboration tasks.","source":{"name":"机器之心 · 微信公众号"},"summary":"Ding Ning's team at Tsinghua University, together with researchers from Beijing University of Posts and Telecommunications, Peking University, and Nature Will, built HandsOn, a simulation platform and evaluation benchmark for cross-embodiment dexterous manipulation, containing 66 manually verified tasks and 18,000 human simulation teleoperation demonstrations.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/oq752sjwhcblohseuswm5y1pe","name":"RoboHot"},"publishedAt":"2026-10-25T10:30:00.000Z","discoveredAt":"2026-10-25T10:45:36.144Z","originalTitle":null},{"id":"otz83rspbw15h0z84pt6efndb","links":{"aihot":"https://robohot.news/en/items/otz83rspbw15h0z84pt6efndb","original":"https://www.xiaopeng.com/news/company_news/5593.html"},"score":66,"title":"XPeng XOS 6.3.0 OTA Deploys Second-Generation VLA Upgrade, Adds InfiniVLA and X-Foresight World Model","reason":"The article explains concretely the trade-offs in co-designing model architecture and deployment under onboard compute constraints, making it a useful engineering reference for deploying large models on limited hardware.","source":{"name":"小鹏机器人"},"summary":"XPeng XOS 6.3.0 deploys a second-generation VLA upgrade via OTA, restructuring the model architecture around the time dimension: InfiniVLA lets historical visual information continuously participate in current judgments, with the vehicle side selecting 30 seconds of historical context alongside streaming autoregressive inference.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/otz83rspbw15h0z84pt6efndb","name":"RoboHot"},"publishedAt":"2026-09-15T00:00:00.000Z","discoveredAt":"2026-10-17T05:10:45.212Z","originalTitle":null},{"id":"ouxirfynsxinjx0ecvk9cy5ky","links":{"aihot":"https://robohot.news/en/items/ouxirfynsxinjx0ecvk9cy5ky","original":"https://www.limxdynamics.com/zh/news/BK000024"},"score":64,"title":"LimX Dynamics showcases LimX Oli's human-like walking and TRON 1's extreme terrain capabilities at WRC","reason":"The author attended WRC in person and breaks down the gait switching, disturbance-rejection recovery, and teleoperation details at the LimX Dynamics booth item by item, so readers can understand its full-chain technology roadmap.","source":{"name":"LimX Dynamics"},"summary":"Robot Lecture Hall reported on-site from the LimX Dynamics booth at the 2025 World Robot Conference. The full-size humanoid robot LimX Oli, 165 cm tall with 31 active degrees of freedom, made its first WRC appearance and went on sale, demonstrating outdoor live dancing and switching among multiple gaits such as a light quick step, model walk, and goose step, powered by a whole-body motion control algorithm combining traditional control, reinforcement learning, and imitation learning, with prices starting at 158,000 yuan.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/ouxirfynsxinjx0ecvk9cy5ky","name":"RoboHot"},"publishedAt":"2025-08-12T16:00:00.000Z","discoveredAt":"2026-10-12T11:50:41.039Z","originalTitle":null},{"id":"ov9tf44iopj54dnvxhx26sefo","links":{"aihot":"https://robohot.news/en/items/ov9tf44iopj54dnvxhx26sefo","original":"https://science.nasa.gov/blog/tracks-along-the-longest-drive-on-another-world/"},"score":62,"title":"NASA's Perseverance rover sets record with 45.22 kilometers driven","reason":"The original article discloses several specific driving parameters that were relaxed to set the record, which is relevant to readers interested in the engineering trade-offs of autonomous navigation.","source":{"name":"NASA"},"summary":"NASA's Perseverance rover reached 45.22 kilometers (28.10 miles) on its odometer on Sol 2006 (Oct. 11, 2026), setting a record for the farthest distance driven on another celestial body; its engineering twin on Earth received a medal from Guinness World Records.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/ov9tf44iopj54dnvxhx26sefo","name":"RoboHot"},"publishedAt":"2026-10-21T15:50:44.000Z","discoveredAt":"2026-10-21T16:41:41.268Z","originalTitle":null},{"id":"ox124738ncomdl8gqta2hrutu","links":{"aihot":"https://robohot.news/en/items/ox124738ncomdl8gqta2hrutu","original":"https://www.limxdynamics.com/zh/news/BK000022"},"score":68,"title":"LimX Dynamics Releases Full-Size Humanoid Robot LimX Oli, Open for Pre-Order from 158,000 Yuan","reason":"The manufacturer has released its own humanoid robot body and provided the price, degree-of-freedom configuration, and scope of SDK openness, which can be used to assess its suitability as a research and development platform.","source":{"name":"LimX Dynamics"},"summary":"LimX Dynamics has released LimX Oli, a full-size general-purpose humanoid robot, priced from 158,000 yuan and open for pre-order starting today. The robot stands 165 cm tall and has 31 body degrees of freedom (excluding end effectors). It is offered in three versions: Lite, EDU, and Super. Its hardware supports modular disassembly and assembly and is compatible with multiple types of end effectors and external devices. The SDK interfaces are fully open, and it supports cloud APIs, OTA updates, and local deployment of large models.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/ox124738ncomdl8gqta2hrutu","name":"RoboHot"},"publishedAt":"2025-07-29T16:00:00.000Z","discoveredAt":"2026-10-12T11:50:41.048Z","originalTitle":null},{"id":"oyc366mtpt51so6v0y30su32t","links":{"aihot":"https://robohot.news/en/items/oyc366mtpt51so6v0y30su32t","original":"https://www.youtube.com/watch?v=hXPJlyE6xyk"},"score":70,"title":"Ant Lingbo Open-Sources Embodied Video Foundation Model LingBot-Video, Scoring 0.620 on RBench","reason":"The material provides comparison scores on RBench and the scope of the open-source release, helping readers judge the starting point and usability of this embodied video model.","source":{"name":"蚂蚁灵波科技 · YouTube"},"summary":"Ant Lingbo has open-sourced LingBot-Video, a MoE video foundation model for embodied intelligence. It uses a DiT plus sparse MoE architecture with 30B parameters and 3B activated at inference, and is claimed to be about 3 times more efficient than dense models.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/oyc366mtpt51so6v0y30su32t","name":"RoboHot"},"publishedAt":"2026-07-08T17:35:39.000Z","discoveredAt":"2026-10-17T09:10:30.625Z","originalTitle":null},{"id":"ozw2hyutfdw1uq81dfhngo773","links":{"aihot":"https://robohot.news/en/items/ozw2hyutfdw1uq81dfhngo773","original":"https://sanctuary.ai/news/tiger/"},"score":78,"title":"Sanctuary AI releases TIGER method to accelerate robot reinforcement learning with imitation policies as dense rewards","reason":"The original text provides the specific approach for converting imitation policies into dense rewards along with ablation data, allowing readers to judge whether it can be applied to their own sparse-reward manipulation training.","source":{"name":"Sanctuary AI"},"summary":"Sanctuary AI proposes TIGER (Task-Space Imitation Guidance for Efficient Reinforcement Learning), which does not execute the imitation policy but instead maps its action chunks through the controller into end-effector reference trajectories, converting them into dense rewards for reinforcement learning.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/ozw2hyutfdw1uq81dfhngo773","name":"RoboHot"},"publishedAt":"2026-10-02T20:17:05.000Z","discoveredAt":"2026-10-12T09:50:02.331Z","originalTitle":null},{"id":"p1egti4vwap9tqm8hhboeuytc","links":{"aihot":"https://robohot.news/en/items/p1egti4vwap9tqm8hhboeuytc","original":"https://mp.weixin.qq.com/s?__biz=MzkzOTc1NjE3Nw==&mid=2247486087&idx=1&sn=9a8573b1e8957975a31a08d8eb6bd647&chksm=c3031cc48963fdb281ae8ca1477b12131d9f4bf649f1cd12dcda22c0949ca357b12e537a39ed&scene=126&sessionid=1792601298#rd"},"score":71,"title":"X Square Robot releases TwinDEX: a three-finger, nine-DOF dexterous hand trained on purely embodiment-free data","reason":"The original text provides specific design dimensions for consistency between the collection end and the execution end, along with a data-efficiency comparison, offering a transferable understanding of the engineering path for replacing real-machine teleoperation with embodiment-free data.","source":{"name":"自变量机器人 · 微信公众号"},"summary":"X Square Robot releases TwinDEX, a pair of twin three-finger, nine-degree-of-freedom dexterous hands: one is wearable for data collection, and one is mounted on a robot for real-machine deployment, enabling dexterous manipulation driven purely by embodiment-free data with zero real-machine teleoperation data.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/p1egti4vwap9tqm8hhboeuytc","name":"RoboHot"},"publishedAt":"2026-09-02T09:14:49.000Z","discoveredAt":"2026-10-21T16:48:14.402Z","originalTitle":null},{"id":"p527x4n6944qeigr3arlb2mzy","links":{"aihot":"https://robohot.news/en/items/p527x4n6944qeigr3arlb2mzy","original":"https://www.youtube.com/watch?v=9Lnh0Bjr1ds"},"score":64,"title":"Pollen Robotics launches Microduck Arena virtual competition arena","reason":"It connects policy training, unified evaluation, and replay-based learning into a closed loop, letting readers learn how to train and compare reinforcement learning policies without physical robots.","source":{"name":"Pollen Robotics · YouTube"},"summary":"Pollen Robotics has released Microduck Arena, a virtual arena where Microduck robots race, train, and compete without the need for physical robots. Users train policies with reinforcement learning and publish them to their own Hugging Face accounts to enter challenges; each submission is evaluated uniformly by the Arena, and results can be compared across players. Published policies can be downloaded as .onnx files to watch replays and learn from the best runs.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/p527x4n6944qeigr3arlb2mzy","name":"RoboHot"},"publishedAt":"2026-10-12T08:56:24.000Z","discoveredAt":"2026-10-17T05:08:39.118Z","originalTitle":null},{"id":"p6v30ee54d745k5fgjtjp3l5b","links":{"aihot":"https://robohot.news/en/items/p6v30ee54d745k5fgjtjp3l5b","original":"https://arxiv.org/abs/2609.05927"},"score":68,"title":"GIF: An agentic generation framework for interactive and functional object compositions for robot learning","reason":"The paper splits interactive and functional object composition generation into disentangled reconstruction and relative pose recovery, and provides a benchmark of eight contact-geometry classes along with collision-rate figures, which can help readers assess this route to simulation data generation.","source":{"name":"PKU EPIC Lab"},"summary":"PKU EPIC Lab proposes GIF, an agentic generation framework for robot learning that reframes the problem as disentangled reconstruction followed by relative pose recovery. CoGen combines 2D and 3D generative models to produce instance-disentangled meshes and coarse initial poses; GPRM refines the relative poses under joint geometric and physical guidance; and a VLM verifier selects the candidate that best matches the structured specification.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/p6v30ee54d745k5fgjtjp3l5b","name":"RoboHot"},"publishedAt":"2026-09-05T06:36:20.000Z","discoveredAt":"2026-10-12T09:50:33.725Z","originalTitle":null},{"id":"p85mh8q1y6ugvgelpb6mh7dan","links":{"aihot":"https://robohot.news/en/items/p85mh8q1y6ugvgelpb6mh7dan","original":"https://mp.weixin.qq.com/s?__biz=MzY4NjA5NTgyMQ==&mid=2247606016&idx=1&sn=3f7b8bdc78a5bcb5cdcb40629981e172&chksm=f25ef2ca0776dff7559aca4e3a4d818b31c22bd49a9ce2a0a37361dba634caa038ae05deba97&scene=126&sessionid=1792921018#rd"},"score":81,"title":"TU Delft's MonoRace achieves 100 km/h autonomous drone racing using only a single front-facing camera","reason":"The Delft team broke down how a monocular camera plus IMU divides perception, state estimation, and reinforcement-learning control in high-speed racing, which can be transferred to real onboard systems with limited compute.","source":{"name":"深蓝AI · 微信公众号"},"summary":"The MonoRace system from TU Delft's MAVLab in the Netherlands, relying only on a single front-facing camera and an IMU, defeated three world-champion-level pilots in a row at the 2025 Abu Dhabi Autonomous Drone Racing competition; the paper was published in Science Robotics on October 14, 2026.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/p85mh8q1y6ugvgelpb6mh7dan","name":"RoboHot"},"publishedAt":"2026-10-25T09:32:00.000Z","discoveredAt":"2026-10-25T09:37:04.395Z","originalTitle":null},{"id":"p9s8onf9wqiml2vnpqfautdxm","links":{"aihot":"https://robohot.news/en/items/p9s8onf9wqiml2vnpqfautdxm","original":"https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2651070489&idx=1&sn=979e5eb39baa3b368af94c9c73dd2afc&chksm=8550e1688b3d16bb2126a401ac2026e17df73e491a7ba9d4711d49678a870ff27cb0e3896c1d&scene=126&sessionid=1793109700#rd"},"score":76,"title":"Ropedia Releases Six Research Results, Exploring How First-Person Human Data Can Be Turned into Robot Capabilities","reason":"The six studies collectively address how first-person human data can be converted into training and execution information usable by robots, and present cross-embodiment and real-robot comparison results.","source":{"name":"机器之心 · 微信公众号"},"summary":"Ropedia released six studies at the first Ropedia Super Week, held October 19 to 23, centered on how first-person human video can be turned into training and execution information usable by robots.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/p9s8onf9wqiml2vnpqfautdxm","name":"RoboHot"},"publishedAt":"2026-10-27T04:03:36.000Z","discoveredAt":"2026-10-27T14:01:39.015Z","originalTitle":null},{"id":"pbbivxk7qouosffxw0ogxjj12","links":{"aihot":"https://robohot.news/en/items/pbbivxk7qouosffxw0ogxjj12","original":"https://www.agibot.com/article/231/detail/125.html"},"score":63,"title":"IDC data shows AGIBOT ranked first globally in humanoid robot shipments in H1 2026","reason":"The original text provides IDC's H1 shipment data and AGIBOT's actual deployment scenarios, which help readers understand the latest landscape of humanoid robot commercialization.","source":{"name":"AgiBot"},"summary":"Citing IDC data, AGIBOT said global humanoid robot shipments in H1 2026 approached 25,000 units, up 432.1% year on year. AGIBOT shipped more than 8,600 units, about 35% of the total, ranking first globally. The company's cumulative output reached 20,000 units by September, and it deployed more than 300 robots at Chimelong Spaceship in Hengqin in partnership with Chimelong, while another 100 AGIBOT X2 robots entered Gujia (SZSE: 002403) stores. IDC expects global shipments to exceed 750,000 units by 2030.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/pbbivxk7qouosffxw0ogxjj12","name":"RoboHot"},"publishedAt":"2026-09-30T00:00:00.000Z","discoveredAt":"2026-10-12T09:50:04.528Z","originalTitle":null},{"id":"per1j9r1wtyycsoixh9ixi9a0","links":{"aihot":"https://robohot.news/en/items/per1j9r1wtyycsoixh9ixi9a0","original":"https://www.limxdynamics.com/zh/news/BK000067"},"score":61,"title":"LimX Dynamics releases humanoid VLA model V³-0 alongside COSA 0.5","reason":"The original text explains the architectural composition of V³-0 and its human-in-the-loop real-robot reinforcement learning loop, which lets readers understand where the mobile whole-body manipulation capability comes from.","source":{"name":"LimX Dynamics"},"summary":"LimX Dynamics released V³-0 alongside COSA 0.5, a humanoid VLA technology stack in its VLA-tools layer that supports mobile whole-body manipulation, running on the 43-DOF LimX humanoid robot Oli.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/per1j9r1wtyycsoixh9ixi9a0","name":"RoboHot"},"publishedAt":"2026-07-14T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:08.579Z","originalTitle":null},{"id":"pgonlsggz38uazaz4pb2on0hh","links":{"aihot":"https://robohot.news/en/items/pgonlsggz38uazaz4pb2on0hh","original":"https://www.ri.cmu.edu/knowing-their-limits/"},"score":62,"title":"CMU and Siemens Partner to Propose PRISM, a Safety-Stop Monitoring Method for Humanoid Robots","reason":"The article introduces PRISM, a method that uses simulation to define the conditions under which a humanoid robot can be safely stopped, and it is a useful reference for readers interested in humanoid robot safety monitoring and certification.","source":{"name":"CMU Robotics Institute"},"summary":"CMU and Siemens partnered to develop a method for evaluating the \"safe stoppability\" of humanoid robots, and used simulation to define the conditions under which a robot can be safely stopped. The result is PRISM (Proactive Refinement of Importance-sampled Stoppability Monitor).","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/pgonlsggz38uazaz4pb2on0hh","name":"RoboHot"},"publishedAt":"2026-09-28T13:00:38.000Z","discoveredAt":"2026-10-12T09:50:07.427Z","originalTitle":null},{"id":"phnadndog2atf88lsl430v4zy","links":{"aihot":"https://robohot.news/en/items/phnadndog2atf88lsl430v4zy","original":"https://static.nfnews.com/content/202607/06/c12596493.html?from=weChatMessage&colID=null&appversion=13701&firstColID=8114&enterColumnId=0&date=YTJiOGM0MWYtMWVhOC00YjA3LTkzNDgtODc3MzEwMzFlMDIx&layer=2"},"score":67,"title":"X Square Robot completes four financing rounds, valuation exceeds 20 billion yuan","reason":"The report details how all four financing rounds were fully closed and the deployment scenarios, giving readers a sense of how substantive the company's financing progress really is.","source":{"name":"X Square Robot/自变量机器人"},"summary":"Shenzhen embodied intelligence company X Square Robot has completed four consecutive financing rounds from Series B through Series C, all fully closed, with a valuation exceeding 20 billion yuan, making it the first embodied intelligence company in the Guangdong-Hong Kong-Macao Greater Bay Area to surpass a 20 billion yuan valuation with the rounds closed. There are more than 30 investors, including the National Artificial Intelligence Industry Investment Fund, Sequoia China, and Xiaomi Strategic Investment. The company released its embodied large model WALL-B in April 2026, partnered with 58 Daojia to provide robot home housekeeping services to nearly 1,000 households in Shenzhen, and partnered with SF Express on flexible intelligent sorting and parcel feeding.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/phnadndog2atf88lsl430v4zy","name":"RoboHot"},"publishedAt":"2026-07-06T00:00:00.000Z","discoveredAt":"2026-10-12T09:50:35.626Z","originalTitle":null},{"id":"pll87q9il0w7csgxrkyw461ik","links":{"aihot":"https://robohot.news/en/items/pll87q9il0w7csgxrkyw461ik","original":"https://www.rokae.com/cn/news/show/2557/%E5%8D%8A%E2%80%9C%E8%87%82%E2%80%9D%E6%B1%9F%E5%B1%B1-%E4%B8%87%E5%8F%B0%E5%90%AF%E7%A8%8B%EF%BD%9C%E7%8F%9E%E7%9F%B3%E7%AC%AC10000%E5%8F%B0%E4%BA%BA%E5%BD%A2%E5%8A%9B%E6%8E%A7%E8%87%82%E4%B8%8B%E7%BA%BF%E4%BA%A4%E4%BB%98%EF%BC%81.html"},"score":60,"title":"ROKAE's 10,000th humanoid force-controlled arm rolls off the line and is delivered","reason":"The piece explains in fairly specific terms the path of transferring a decade of industrial force-control expertise to humanoid actuation units, as well as the product line composition that supports the 10,000-unit delivery.","source":{"name":"珞石机器人"},"summary":"ROKAE's 10,000th humanoid force-controlled arm officially rolled off the line and was delivered on September 29 at its smart manufacturing future factory. The company says it has partnered with more than 80 leading industry partners, and that its force-controlled arms continue to enter real application scenarios. Its humanoid force-controlled product line includes the Xuanji HSA series force-controlled joints with built-in high-precision torque sensors; the Taibai AR series humanoid force-controlled arms, which cover a payload range of 3-20 kg and adopt a humanoid seven-degree-of-freedom and cross-wrist configuration; and the Xuanhe iNex control system, which integrates force control with WBC whole-body motion control.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/pll87q9il0w7csgxrkyw461ik","name":"RoboHot"},"publishedAt":"2026-09-28T16:00:00.000Z","discoveredAt":"2026-10-17T09:08:42.956Z","originalTitle":null},{"id":"plo1duznl5ji1jp31o5f6x50q","links":{"aihot":"https://robohot.news/en/items/plo1duznl5ji1jp31o5f6x50q","original":"https://www.agilityrobotics.com/content/agility-unveils-digit-5-humanoid-robot-built-for-cooperatively-safe-work-at-scale"},"score":66,"title":"Agility Robotics Releases Next-Generation Humanoid Robot Digit 5","reason":"The official announcement details Digit 5's safety architecture, payload, battery life, and other specific upgrades, along with order background, giving readers insight into the product approach for humanoid robots working near people.","source":{"name":"Agility Robotics"},"summary":"Agility Robotics has released Digit 5, a next-generation general-purpose humanoid robot built around a safety architecture that allows it to work in close proximity to people without traditional physical safety fencing. It uses an independent safety controller, AI-based human detection, and audiovisual cues, and is the first launch partner for the NVIDIA Halos for Robotics platform, built on NVIDIA IGX Thor.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/plo1duznl5ji1jp31o5f6x50q","name":"RoboHot"},"publishedAt":"2026-09-14T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:03.452Z","originalTitle":null},{"id":"pvft1vjumlcj74wtg2752q5ud","links":{"aihot":"https://robohot.news/en/items/pvft1vjumlcj74wtg2752q5ud","original":"https://x.com/DynaRobotics/status/2086856327150858298"},"score":68,"title":"Dyna Robotics releases Dyna-2 world-action model, pretrained on one million hours of human video","reason":"The original text provides data scales spanning four orders of magnitude and three scaling law conclusions, which can help readers understand how human video pretraining transfers to robot data.","source":{"name":"达纳灵动 · X"},"summary":"Dyna Robotics introduces Dyna-2, a world-action model pretrained on one million hours of human video. The authors say they found several new scaling laws at this scale: world-action models across four orders of magnitude on human data (from 1,000 hours to 1.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/pvft1vjumlcj74wtg2752q5ud","name":"RoboHot"},"publishedAt":"2026-08-10T16:44:54.000Z","discoveredAt":"2026-10-17T15:26:23.297Z","originalTitle":null},{"id":"pxk1wtw8ocfd9u4p6afwyduky","links":{"aihot":"https://robohot.news/en/items/pxk1wtw8ocfd9u4p6afwyduky","original":"https://www.dexmate.com/blog/what-should-a-robot-remember"},"score":72,"title":"Dexmate and CMU Release MeMoREval Benchmark: Robot Storing Camera Frames Beats Text Descriptions","reason":"The benchmark was proposed jointly by the platform developer and CMU; its frame-versus-scene-graph comparison can help with memory design choices, and the real-robot transfer offers a feasibility reference.","source":{"name":"Dexmate"},"summary":"Dexmate and CMU introduced the MeMoREval benchmark, which uses a two-stage protocol of experiencing first and asking questions later to evaluate what embodied agents should store as memory. It includes 53 tasks and 4 simulated indoor environments, and runs on the Vega 1 Pro dual-arm mobile manipulator. Results show that storing raw camera frames scored 70% and had lower write cost, surpassing text descriptions at 56 to 60%; adding scene graphs achieved the highest overall success rate among all tested models. The protocol also completed two memory retrieval demonstrations on a real Vega 1 Pro using a SLAM map and head camera.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/pxk1wtw8ocfd9u4p6afwyduky","name":"RoboHot"},"publishedAt":"2026-10-14T18:00:00.000Z","discoveredAt":"2026-10-14T21:44:15.087Z","originalTitle":null},{"id":"q1f5tr1bhyhb7mypjw1ya12oh","links":{"aihot":"https://robohot.news/en/items/q1f5tr1bhyhb7mypjw1ya12oh","original":"https://thehumanoid.ai/kinetiq-ascend-toward-100-reliable-manipulation-and-superhuman-speed/"},"score":63,"title":"KinetIQ Ascend uses real-world reinforcement learning to boost humanoid robot manipulation throughput and success rate","reason":"The original text provides specific throughput and success-rate figures for three industrial tasks and notes a pattern of predictable performance improvement with training duration, making it useful for assessing the practical value of real-world reinforcement learning on humanoid robots.","source":{"name":"HUMANOID"},"summary":"HUMANOID has launched KinetIQ Ascend, an end-to-end visual reinforcement learning method that operates under production deployment conditions, extending its KinetIQ framework to let robots improve manipulation skills through trial and error rather than relying solely on human demonstration; the company says this is the first such method publicly demonstrated on production-line humanoid robot manipulation.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/q1f5tr1bhyhb7mypjw1ya12oh","name":"RoboHot"},"publishedAt":"2026-06-25T12:23:40.000Z","discoveredAt":"2026-10-17T05:07:56.516Z","originalTitle":null},{"id":"q2squylha2k4h999dtesit36p","links":{"aihot":"https://robohot.news/en/items/q2squylha2k4h999dtesit36p","original":"https://thehumanoid.ai/humanoid-secures-partnership-with-bosch-following-a-successful-poc/"},"score":61,"title":"Humanoid partners with Bosch to manufacture HMND 01 humanoid robot, advancing mass production for the European market","reason":"The material explains how a humanoid robot company moves from a single POC to mass manufacturing; the details of the contract manufacturing and DfX division of labor are useful for judging the path to deployment.","source":{"name":"HUMANOID"},"summary":"UK robotics company Humanoid announced a partnership with Bosch, under which Bosch will serve as contract manufacturing partner for the HMND 01 humanoid robot, supporting production for the European market. The agreement builds on a POC completed in March 2026 at a logistics site in Bühl, Germany: in Bosch's dynamic logistics environment, the HMND 01 autonomously moved boxes from a conveyor to a cart, covering 5 different box types with varying footprints, heights, and weights, orchestrated by Humanoid's in-house KinetIQ framework.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/q2squylha2k4h999dtesit36p","name":"RoboHot"},"publishedAt":"2026-05-21T10:10:31.000Z","discoveredAt":"2026-10-17T05:07:56.529Z","originalTitle":null},{"id":"q3152rn0e2l17apnlsrpbiw3t","links":{"aihot":"https://robohot.news/en/items/q3152rn0e2l17apnlsrpbiw3t","original":"https://www.geekplus.com/resources/news/subscription-based-services-boom-geek-reports-2026-interim-results-orders-up-35.5-breakthroughs-across-the-business-spectrum"},"score":64,"title":"Geek+ Reports 2026 First-Half Results: New Orders Up 35.5% YoY","reason":"Specific figures are given for orders, revenue, gross margin, and the narrowing loss, making it easy for readers to compare with peers' interim results and profitability pace.","source":{"name":"极智嘉"},"summary":"Geek+ (2590.HK) announced its first-half results for the period ended June 30, with new signed orders up 35.5% year on year to RMB 2.385 billion, revenue up 25.3% year on year to RMB 1.284 billion, gross margin improving to 35.8%, and adjusted net loss narrowing 32.1%. Excluding the impact of embodied intelligence R&D investment, adjusted net loss narrowed 81.9%, bringing the core business close to break-even.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/q3152rn0e2l17apnlsrpbiw3t","name":"RoboHot"},"publishedAt":"2026-09-01T09:27:06.000Z","discoveredAt":"2026-10-17T05:08:30.562Z","originalTitle":null},{"id":"q4j8rvtmned9wy3nh0k9abk1e","links":{"aihot":"https://robohot.news/en/items/q4j8rvtmned9wy3nh0k9abk1e","original":"https://x.com/SoftBank_Group/status/2099421374540640423"},"score":69,"title":"SoftBank Group outlines growth strategy for the ASI era, listing physical AI as one of four key areas","reason":"The article places the robotics acquisition within the four main lines of AI models, chips, and infrastructure, so readers can understand the synergy logic among SoftBank's various investments.","source":{"name":"SoftBank · X"},"summary":"SoftBank Group released a growth strategy for the ASI era, listing AI models, AI chips, AI infrastructure, and physical AI (robotics and autonomous driving, among others) as its four strategic priority areas. The company's cumulative investment in OpenAI has reached $34.6 billion since its first investment in September 2024, and in February 2026 it decided to add another $30 billion; once the additional investment is completed, cumulative investment will reach $64.6 billion and its stake will be approximately 13%.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/q4j8rvtmned9wy3nh0k9abk1e","name":"RoboHot"},"publishedAt":"2026-09-14T08:53:55.000Z","discoveredAt":"2026-10-17T11:13:26.771Z","originalTitle":null},{"id":"q5t14pqml0slcg5c1m0l1uvob","links":{"aihot":"https://robohot.news/en/items/q5t14pqml0slcg5c1m0l1uvob","original":"https://www.shlab.org.cn/news/5444306"},"score":73,"title":"Shanghai AI Lab launches decision model Intern·Mingjue, outperforming Jev and releasing 0.8B, 2B, and 4B weights","reason":"The original text provides measured latency, benchmark scores, and a mechanism for routing between large and small models, which readers can use to judge the decision model's suitability for interactive scenarios.","source":{"name":"Shanghai AI Laboratory - Embodied Intelligence"},"summary":"Shanghai AI Laboratory has launched the decision model Intern·Mingjue (Decision), which outperforms Jev and is available in 0.8B, 2B, and 4B parameter versions. In RTX 4090 tests, the 0.8B and 2B models had an average end-to-end latency of about 33 milliseconds and about 30 decisions per second, while the 4B model was 44.16 milliseconds and Jev was 109.70 milliseconds.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/q5t14pqml0slcg5c1m0l1uvob","name":"RoboHot"},"publishedAt":"2026-10-11T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:16.063Z","originalTitle":null},{"id":"q7p72w15a50a7rro3287fp4wh","links":{"aihot":"https://robohot.news/en/items/q7p72w15a50a7rro3287fp4wh","original":"https://x.com/GenrobotAI/status/2115339631407571190"},"score":67,"title":"GenRobot.AI's two open-source datasets enter Hugging Face robotics dataset trending top five","reason":"Two open-source datasets entering the top five of the Hugging Face robotics dataset trending list can serve as a reference for observing the level of attention to whole-body manipulation data.","source":{"name":"简智机器人 · X"},"summary":"GenRobot.AI announced that both of its open-source datasets, Gen-HumanWholeBody and Gen-HumanEgo, have entered the top five of the Hugging Face robotics dataset trending list. Gen-HumanWholeBody is a first-person whole-body manipulation dataset containing 600 hours of whole-body manipulation data, 16,976 real-world scenes, and 1,281 human skills, with whole-body MPJPE of about 3 cm; the authors say it targets whole-body motion learning, human-to-robot transfer, and embodied foundation model research.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/q7p72w15a50a7rro3287fp4wh","name":"RoboHot"},"publishedAt":"2026-10-28T07:07:23.000Z","discoveredAt":"2026-10-28T07:07:34.942Z","originalTitle":null},{"id":"qe6uzkvbwph8gow02jpca9evh","links":{"aihot":"https://robohot.news/en/items/qe6uzkvbwph8gow02jpca9evh","original":"https://mp.weixin.qq.com/s?__biz=MzkyMTc1NTI3Ng==&mid=2247509403&idx=1&sn=bff1aad6243e5d3fd827eb89dc3d5d82&chksm=c05fe4d4d11c2b7093ae66b448ea7a0cf0d40aee2c449510f42f6027905022c2386874a95017&scene=126&sessionid=1792676336#rd"},"score":77,"title":"How to Choose a Robot Simulator: Same Success, Tenfold Contact Force Gap","reason":"The article uses controlled comparison experiments under uniform conditions to show that simulator divergence is concentrated in contact forces rather than success or failure, and provides transferable troubleshooting and verification methods.","source":{"name":"Xbotics具身智能实验室 · 微信公众号"},"summary":"The article interprets a simulator comparison report released by Manda Robotics in early October, running about ten sets of experiments with the same Franka 7-axis robotic arm and the same control program on four physics engines: PhysX, MuJoCo, MuJoCo Warp, and Genesis.","category":"tip","selected":true,"attribution":{"url":"https://robohot.news/en/items/qe6uzkvbwph8gow02jpca9evh","name":"RoboHot"},"publishedAt":"2026-10-21T03:00:00.000Z","discoveredAt":"2026-10-22T13:38:49.086Z","originalTitle":null},{"id":"qh66nu3bg35p4mw3nzmqb9c1x","links":{"aihot":"https://robohot.news/en/items/qh66nu3bg35p4mw3nzmqb9c1x","original":"https://neura-robotics.com/neura-acquires-adlatus-robotics/"},"score":63,"title":"NEURA Robotics fully acquires German cleaning robotics company ADLATUS Robotics","reason":"The original article provides details on the acquired company's existing equipment, navigation software, and plans to integrate with Neuraverse, which helps explain NEURA's cleaning business strategy.","source":{"name":"NEURA Robotics"},"summary":"NEURA Robotics announced that its NEURA Mobile Robots GmbH has acquired 100% of the shares of ADLATUS Robotics GmbH, an autonomous cleaning robotics company based in Ulm, Germany.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/qh66nu3bg35p4mw3nzmqb9c1x","name":"RoboHot"},"publishedAt":"2026-08-23T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:34.290Z","originalTitle":null},{"id":"qh7cevmt0otniz8hwiq91ykuf","links":{"aihot":"https://robohot.news/en/items/qh7cevmt0otniz8hwiq91ykuf","original":"https://arxiv.org/abs/2610.37543"},"score":80,"title":"Rendering-Free Event Frame Simulation Accelerates Reinforcement Learning for Autonomous Robot Navigation","reason":"This work uses analytic event simulation to bypass image rendering, cutting event-camera reinforcement learning training time to under 30 minutes, and completes real-world deployment on a 56-gram drone.","source":{"name":"arXiv cs.RO"},"summary":"The authors propose an analytic event simulator that synthesizes event streams directly from scene geometry and ego-motion without image rendering, generating 64x64 event observations in just 17 microseconds on a single GPU, over 400 times faster than state-of-the-art rendering pipelines. Reinforcement learning training for an event-camera obstacle-avoidance policy based on this simulator converges in under 30 minutes, three orders of magnitude faster than training on rendered events, and transfers zero-shot to ray-traced event simulation in Isaac Sim.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/qh7cevmt0otniz8hwiq91ykuf","name":"RoboHot"},"publishedAt":"2026-10-28T04:00:00.000Z","discoveredAt":"2026-10-28T04:00:31.014Z","originalTitle":null},{"id":"ql4a2kr4eiyv4mnplhkxn10w9","links":{"aihot":"https://robohot.news/en/items/ql4a2kr4eiyv4mnplhkxn10w9","original":"https://mp.weixin.qq.com/s/mhq-hSjcgNRSzNeUzAJnfg"},"score":65,"title":"Wujie Dynamics completes Angel++ funding round, cumulative funding exceeds $200 million and signs over 500 million yuan in overseas orders","reason":"The original text provides three verifiable pieces of information at once—funding, orders, and personnel—allowing readers to judge the company's commercialization pace and technology-route choices.","source":{"name":"线性资本"},"summary":"General-purpose embodied intelligent robotics company Wujie Dynamics announced the completion of its Angel++ funding round, jointly invested by Envision Technology Group and the Beijing Artificial Intelligence Industry Investment Fund, with existing shareholders including Sequoia China, Linear Capital, and Hillhouse Venture Capital participating. Cumulative Angel-round funding exceeds $200 million, and the Angel+++ round is nearing completion.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/ql4a2kr4eiyv4mnplhkxn10w9","name":"RoboHot"},"publishedAt":"2026-04-27T03:42:20.000Z","discoveredAt":"2026-10-17T09:14:52.384Z","originalTitle":null},{"id":"ql6nmpi2qzstu1nta4l8x3zzb","links":{"aihot":"https://robohot.news/en/items/ql6nmpi2qzstu1nta4l8x3zzb","original":"https://mp.weixin.qq.com/s?__biz=MzAwNzA5Mjg1Ng==&mid=2649493788&idx=1&sn=9ef8b4e654c35828abc602d3199d2fb5&chksm=82eed585e4f45a3cd28bef5686c66b32f7ec256d5aa8d8b9794463362ad3c388ac2e9f652c99&scene=126&sessionid=1792507343#rd"},"score":73,"title":"D-Robotics completes $400 million Series C funding, Sunrise series chips cumulative shipments exceed 8 million units","reason":"The original text provides specific figures including the funding size, lead investor, chip shipment volume, and customer coverage, which can be used to assess the commercialization progress of the embodied intelligence infrastructure sector.","source":{"name":"九合创投 · 微信公众号（九合创投）"},"summary":"D-Robotics announced the completion of a $400 million Series C funding round, led by Mirae Asset, with participation from Meituan Strategic Investment, multiple government investment platforms, and existing shareholders. The funds will be used to strengthen the full-compute-range product lineup of Sunrise chips and to build an end-to-end software platform spanning data collection, model training, simulation validation, and inference deployment.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/ql6nmpi2qzstu1nta4l8x3zzb","name":"RoboHot"},"publishedAt":"2026-09-17T02:34:04.000Z","discoveredAt":"2026-10-20T14:42:51.059Z","originalTitle":null},{"id":"qmr6gcwh95s0bpysdypsqp1zw","links":{"aihot":"https://robohot.news/en/items/qmr6gcwh95s0bpysdypsqp1zw","original":"https://mp.weixin.qq.com/s?__biz=MzUyMzYxNjE0Mg==&mid=2247658997&idx=1&sn=fb58b3932384da30bb127611c30f5235&chksm=fba04456ec95c29aa8882443a6372c9a4280e11df8c17445be7f05bdb5b9f313e25184ffa4ed&scene=126&sessionid=1792680315#rd"},"score":74,"title":"BIT team publishes meter-scale titanium alloy single-crystal additive manufacturing results in Nature","reason":"The paper presents the mechanism and cross-material validation of seed-crystal-free single-crystal additive manufacturing, which readers can use to assess its impact on the barriers to manufacturing single-crystal components.","source":{"name":"北京理工大学 · 微信公众号（北京理工大学）"},"summary":"A team led by Professor Liu Changmeng at Beijing Institute of Technology has pioneered a single-crystal additive manufacturing method based on unsteady pulsed growth in a micro-melt pool, achieving meter-scale titanium alloy single-crystal additive manufacturing for the first time. The results were published in Nature on October 21 in a paper titled \"Additive manufacturing ultralong and architected single crystals,\" with corresponding authors Liu Changmeng, Cui Yinan of Tsinghua University, and Yinmin Morris Wang of the University of California, Los Angeles.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/qmr6gcwh95s0bpysdypsqp1zw","name":"RoboHot"},"publishedAt":"2026-10-22T00:35:07.000Z","discoveredAt":"2026-10-22T14:45:24.500Z","originalTitle":null},{"id":"qxyw8oy5d24lwiabok3ef8soo","links":{"aihot":"https://robohot.news/en/items/qxyw8oy5d24lwiabok3ef8soo","original":"https://www.psibot.ai/corl2026-%e8%ae%a9%e6%9c%ba%e5%99%a8%e4%ba%ba%e4%bb%8e%e4%ba%a4%e4%ba%92%e4%b8%ad%e6%8c%81%e7%bb%ad%e5%ad%a6%e4%b9%a0%ef%bc%81robofft%e6%8f%90%e5%87%ba%e9%9d%a2%e5%90%91%e7%94%9f%e6%88%90%e5%bc%8f/"},"score":71,"title":"PKU-Spirit AI Joint Lab's RoboFFT Accepted to CoRL2026, Uses Reinforcement Learning Post-Training to Generate Robotic Policies","reason":"The method reuses the forward noising loss of diffusion and flow models to construct policy update signals, offering a reusable approach for post-training generative policies.","source":{"name":"PsiBot/灵初智能"},"summary":"RoboFFT, proposed by the PKU-Spirit AI Joint Lab, has been accepted to CoRL2026. It is a reinforcement learning post-training method for generative robotic policies that reuses the forward noising process from diffusion model and flow model pretraining to construct an approximate probability ratio for PPO-style clipped updates.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/qxyw8oy5d24lwiabok3ef8soo","name":"RoboHot"},"publishedAt":"2026-11-03T06:38:56.000Z","discoveredAt":"2026-11-03T07:04:10.729Z","originalTitle":null},{"id":"qz10rbwqlpq5vp2emzdxayj4t","links":{"aihot":"https://robohot.news/en/items/qz10rbwqlpq5vp2emzdxayj4t","original":"https://arxiv.org/abs/2610.41654"},"score":78,"title":"∇Mimic: Efficient Whole-Body Control for Humanoid Robots with Differentiable Simulation","reason":"The paper presents a complete scheme for training humanoid policies with exact gradients under differentiable simulation and open-sources the engine and code, making it easy to compare the efficiency of first-order and zeroth-order methods.","source":{"name":"arXiv cs.RO"},"summary":"The authors propose ∇Mimic, which uses exact gradients from a differentiable simulator to train whole-body motion-tracking policies for humanoid robots, reaching a score of 0.82 in 20 minutes and 0.874 in 1.8 hours on a single GPU, whereas the world-model method takes 1.2 hours to reach 0.82.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/qz10rbwqlpq5vp2emzdxayj4t","name":"RoboHot"},"publishedAt":"2026-11-02T05:00:00.000Z","discoveredAt":"2026-11-02T05:01:36.348Z","originalTitle":null},{"id":"r29yyibj868lphm4a6b4ze2g7","links":{"aihot":"https://robohot.news/en/items/r29yyibj868lphm4a6b4ze2g7","original":"https://www.ri.cmu.edu/cmu-researchers-give-robots-a-delicate-touch/"},"score":68,"title":"CMU research team develops human-inspired multisensory fingertips for DeltaHands robotic hand","reason":"The original text provides details on the multimodal tactile design of the human-inspired fingertips and their cost of less than 100 US dollars, helping readers understand how force and vibration sensing support manipulation control.","source":{"name":"CMU Robotics Institute"},"summary":"CMU researchers designed human-hand-inspired fingertips that can be mounted on the DeltaHands flexible robotic hand. They combine strain gauges to measure pinch pressure with a microphone that captures micro-vibrations through a plastic fingernail, enabling the hand to count paper cups, identify materials, and grasp fragile items such as tofu cubes and potato chips. Each fingertip costs less than 100 US dollars, compared with about 800 US dollars to build a similar setup from off-the-shelf products. The work was presented at the 2026 Intelligent Robots and Systems Conference in Pittsburgh.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/r29yyibj868lphm4a6b4ze2g7","name":"RoboHot"},"publishedAt":"2026-10-05T14:00:23.000Z","discoveredAt":"2026-10-12T09:50:07.406Z","originalTitle":null},{"id":"rb90ct6tz79szk4gwyb9st7h4","links":{"aihot":"https://robohot.news/en/items/rb90ct6tz79szk4gwyb9st7h4","original":"https://www.limxdynamics.com/zh/news/BK000058"},"score":67,"title":"LimX Dynamics Open-Sources FluxVLA Engine, a Standardized VLA Engineering Foundation","reason":"LimX Dynamics has officially open-sourced its VLA engineering foundation, which lets readers understand how unified configuration and real-robot deployment workflows lower the barrier to research and development.","source":{"name":"LimX Dynamics"},"summary":"LimX Dynamics has officially open-sourced FluxVLA Engine, a standardized VLA engineering foundation for embodied intelligence that covers the full pipeline from data and training to simulation evaluation and real-robot deployment.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/rb90ct6tz79szk4gwyb9st7h4","name":"RoboHot"},"publishedAt":"2026-04-30T04:11:52.000Z","discoveredAt":"2026-10-12T09:50:08.591Z","originalTitle":null},{"id":"rdegiatv5p2ty4z96mr04nwn8","links":{"aihot":"https://robohot.news/en/items/rdegiatv5p2ty4z96mr04nwn8","original":"https://www.csail.mit.edu/news/new-tool-lets-users-repair-ai-generated-3d-models-then-fabricate-them-just-way-they-want"},"score":61,"title":"MIT CSAIL and others launch InstructMesh tool to repair AI-generated 3D models and manufacture them on demand","reason":"The research presents a new tool and user experiment data, letting readers learn how ordinary users can repair AI-generated 3D models and complete printing.","source":{"name":"MIT CSAIL"},"summary":"MIT CSAIL, together with Google and Northeastern researchers, launched InstructMesh, which combines TRELLIS with GPT-4 to let users repair AI-generated 3D models using natural language before 3D printing them.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/rdegiatv5p2ty4z96mr04nwn8","name":"RoboHot"},"publishedAt":"2026-09-09T12:00:00.000Z","discoveredAt":"2026-10-12T09:50:07.399Z","originalTitle":null},{"id":"rezz9udnlkq7odqtjgttt0hjm","links":{"aihot":"https://robohot.news/en/items/rezz9udnlkq7odqtjgttt0hjm","original":"https://www.geekplus.com/resources/news/geekplus-unveils-roboshuttle-hyper-raising-the-throughput-ceiling-for-tote-to-person-fulfillment"},"score":61,"title":"Geekplus launches RoboShuttle Hyper tote-to-person climbing AMR solution","reason":"The source provides two hard metrics: throughput per 1,000 square meters and workstation throughput per hour. These can be used to benchmark the capacity of tote-to-person solutions.","source":{"name":"极智嘉"},"summary":"Geekplus (HKEX: 2590) has launched RoboShuttle Hyper, its next-generation tote-to-person climbing AMR solution, targeting high-throughput scenarios such as B2C e-commerce order peaks, fresh-food and cold-chain fulfillment, consolidation warehouse operations and micro-fulfillment centers (MFCs). It claims a maximum throughput of 6,000 totes per hour per 1,000 square meters. The accompanying new Max Workstation supports a dual-point continuous tote-feeding mode that can exceed 800 totes per hour. The company says the system lets multiple robots work in the same space at the same time without sacrificing reliability.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/rezz9udnlkq7odqtjgttt0hjm","name":"RoboHot"},"publishedAt":"2026-08-12T15:27:56.000Z","discoveredAt":"2026-10-17T05:08:30.581Z","originalTitle":null},{"id":"rf5otw7vzagal23n637vz4et2","links":{"aihot":"https://robohot.news/en/items/rf5otw7vzagal23n637vz4et2","original":"http://www.leikeji.com/article/80048"},"score":78,"title":"WorldOracle world-model evaluation platform launched, using real-robot testing to fact-check the industry","reason":"The evaluation compares world-model predictions frame by frame against real execution records, revealing a common problem in which robotic arm motion is replicated but object states are systematically hallucinated, providing concrete reference points for judging model usability.","source":{"name":"雷科技"},"summary":"On October 16, WorldOracle, an action-driven world-model evaluation platform jointly completed by researchers from AgiBot, NVIDIA, Princeton University, the University of Texas at Austin, and the University of Toronto, was officially released, opening evaluation submissions to developers.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/rf5otw7vzagal23n637vz4et2","name":"RoboHot"},"publishedAt":"2026-10-19T08:34:30.000Z","discoveredAt":"2026-10-19T09:04:25.246Z","originalTitle":null},{"id":"rfdbqhjqcbtcwmvxu0f3cbmzn","links":{"aihot":"https://robohot.news/en/items/rfdbqhjqcbtcwmvxu0f3cbmzn","original":"https://www.figure.ai/news/ramping-figure-03-production"},"score":64,"title":"Figure 03 production ramps up: BotQ capacity rises 24-fold in 120 days to 1 unit per hour","reason":"The official figures give specific production and quality-control numbers and explain how fleet scale supports the deployment of perception-conditioned whole-body control.","source":{"name":"Figure AI"},"summary":"Figure announced that its BotQ factory has delivered more than 350 third-generation humanoid robots, Figure 03, with takt time improving from 1 unit per day to 1 unit per hour, a 24-fold throughput increase in 120 days. The line is driven by self-developed manufacturing execution software and covers more than 150 networked workstations. First-pass yield for completed units exceeds 80%, the battery line's first-pass yield is 99.3%, more than 9,000 actuators have been produced, and each robot undergoes more than 80 functional verification tests before leaving the factory.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/rfdbqhjqcbtcwmvxu0f3cbmzn","name":"RoboHot"},"publishedAt":"2026-04-29T09:00:00.000Z","discoveredAt":"2026-10-12T11:50:34.635Z","originalTitle":null},{"id":"rho136zusygyc05sg23l09iks","links":{"aihot":"https://robohot.news/en/items/rho136zusygyc05sg23l09iks","original":"https://robot.hit.edu.cn/2026/0624/c287a394815/page.htm"},"score":62,"title":"HIT's Zhu Yanhe Team Publishes Paper on Cooperative Reconfiguration for Self-Repair in Modular Robots","reason":"The paper presents a cooperative reconfiguration fault-tolerance strategy that requires no backup modules and data showing a 7-fold increase in the fault-tolerance upper limit, allowing readers to understand a concrete implementation path for self-repair in robot swarms under extreme environments.","source":{"name":"Harbin Institute of Technology Robotics"},"summary":"Professor Zhu Yanhe's team at Harbin Institute of Technology (HIT) published a paper in the International Journal of Extreme Manufacturing (IJEM), proposing an autonomous fault-tolerant repair strategy for modular robots based on cooperative reconfiguration, which restores joint fault damage by changing morphology without backup module replacement. The method combines topological description and kinematic self-modeling, particle swarm optimization to search for target configurations, and an improved RRT cooperative reconfiguration algorithm. In experiments, the fault-tolerance upper limit was 7 times higher than that of fixed-configuration redundancy methods. HIT is the sole completing institution, and doctoral student Qi Jian is the first author.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/rho136zusygyc05sg23l09iks","name":"RoboHot"},"publishedAt":"2026-06-23T16:00:00.000Z","discoveredAt":"2026-10-12T13:50:35.811Z","originalTitle":null},{"id":"rhwlmoc8jpp86idh9ei6ain01","links":{"aihot":"https://robohot.news/en/items/rhwlmoc8jpp86idh9ei6ain01","original":"https://mp.weixin.qq.com/s/raw01ut_O7YDlRh1PxUVTA"},"score":62,"title":"Realman provides real-world data for Ant Lingbo's open-source embodied model LingBot-VLA","reason":"From a partner's perspective, it explains how real-world data was specifically supplied for LingBot-VLA training and the capability for large-scale data collection, helping readers understand how the data infrastructure actually operates.","source":{"name":"RealMan/睿尔曼"},"summary":"Ant Lingbo has released and open-sourced LingBot-VLA, an embodied intelligence foundation model. Its pretraining used about 20,000 hours of real-world data covering 9 dual-arm robot configurations, and it outperformed Pi0.5 overall in real-robot evaluations across more than 100 tasks. Realman's wholly owned subsidiary Ruiyuan Robotics provides high-precision multimodal real-world data for the RS-01 and RS-02 robots. The technical report shows that model success rates continued to improve without saturating as pretraining data expanded from 3,000 hours to 20,000 hours.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/rhwlmoc8jpp86idh9ei6ain01","name":"RoboHot"},"publishedAt":"2026-02-25T11:00:00.000Z","discoveredAt":"2026-10-12T09:51:12.499Z","originalTitle":null},{"id":"rj7zg9zdtz3fhhaog9viuofaw","links":{"aihot":"https://robohot.news/en/items/rj7zg9zdtz3fhhaog9viuofaw","original":"https://www.agile-robots.com/en/news/detail/agile-robots-and-google-deepmind-partner-to-bring-intelligence-to-robotics/"},"score":66,"title":"Agile Robots and Google DeepMind announce strategic partnership to integrate Gemini Robotics models into industrial robots","reason":"The partnership focuses on industrial deployment and data feedback for training, giving readers insight into the path to real-world adoption when foundation models are connected with robot manufacturers.","source":{"name":"Agile Robots/思灵机器人"},"summary":"Agile Robots SE and Google DeepMind announced a strategic research partnership to combine the Gemini Robotics foundation models with Agile Robots' industrial robot platform and develop adaptable, reasoning-capable robots. The partnership initially focuses on industrial manufacturing scenarios where reliability and scale are critical, forming a data flywheel through deployment, data collection, model training, and iteration; Agile Robots says it has installed more than 20,000 robot solutions worldwide.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/rj7zg9zdtz3fhhaog9viuofaw","name":"RoboHot"},"publishedAt":"2026-03-24T12:00:00.000Z","discoveredAt":"2026-10-12T09:50:40.346Z","originalTitle":null},{"id":"rmib4zmf4nsuwnbn7g7b06rli","links":{"aihot":"https://robohot.news/en/items/rmib4zmf4nsuwnbn7g7b06rli","original":"https://x.com/usv/status/2115075512989086110"},"score":71,"title":"USV and Creandum co-lead $40 million seed round for Machenta","reason":"USV, as co-lead investor, explains why Machenta's one-demonstration learning is worth betting on, giving readers insight into the technical claims behind the funding.","source":{"name":"Union Square Ventures · X"},"summary":"USV announced that it co-led Machenta's $40 million seed round with Creandum, as the company also emerged from stealth. Machenta says its robotics foundation model is trained entirely in simulation, with no real-world data, and can learn a task from a single demonstration without additional training, adapting when the environment changes.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/rmib4zmf4nsuwnbn7g7b06rli","name":"RoboHot"},"publishedAt":"2026-10-27T13:37:53.000Z","discoveredAt":"2026-10-27T14:07:31.034Z","originalTitle":null},{"id":"rmk5x8kkkxbtqyq59ecehz8j4","links":{"aihot":"https://robohot.news/en/items/rmk5x8kkkxbtqyq59ecehz8j4","original":"https://x.com/GenrobotAI/status/2047692036976066998"},"score":71,"title":"Genrobot open-sources Phase 3 UMI dual-arm manipulation dataset","reason":"The data scale and real-home collection background help readers judge whether this kind of UMI data can be used to train their own manipulation tasks.","source":{"name":"简智机器人 · X"},"summary":"Genrobot has open-sourced the Phase 3 UMI dataset, containing 13K+ hours of dual-arm data that is ready to use and supports sub-1ms frame-level synchronization and high-fidelity trajectory reconstruction. The data was collected by 3K+ contributors in 10K+ real homes, covering diverse everyday manipulation skills. Download at https://huggingface.co/datasets/genrobot2025/10Kh-RealOmin-OpenData.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/rmk5x8kkkxbtqyq59ecehz8j4","name":"RoboHot"},"publishedAt":"2026-04-24T15:00:00.000Z","discoveredAt":"2026-10-17T11:11:22.915Z","originalTitle":null},{"id":"rp89ye906nerwfyv4vjq5rrme","links":{"aihot":"https://robohot.news/en/items/rp89ye906nerwfyv4vjq5rrme","original":"http://www.leikeji.com/article/80257"},"score":78,"title":"AgiBot Innovation Day releases Worken work-hour metric and Lingqu OS 1.0","reason":"At Innovation Day, AgiBot proposed the Worken work-hour metric and open-sourced Lingqu OS, giving readers a way to observe new paths for embodied intelligence commercialization and ecosystem openness.","source":{"name":"雷科技"},"summary":"At AgiBot Innovation Day on October 29, AgiBot proposed Worken (effective intelligent work hours), a measurement standard whose formula is number of active robots × autonomous working hours × output efficiency ratio, and released Lingqu OS 1.0, a native operating system for embodied intelligence.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/rp89ye906nerwfyv4vjq5rrme","name":"RoboHot"},"publishedAt":"2026-10-30T04:54:05.000Z","discoveredAt":"2026-10-30T04:55:19.282Z","originalTitle":null},{"id":"s2dcrwmh3bjqdz2wv8nt8x1zj","links":{"aihot":"https://robohot.news/en/items/s2dcrwmh3bjqdz2wv8nt8x1zj","original":"https://mp.weixin.qq.com/s/h3oSQWVdTlNzancPYprkVQ"},"score":65,"title":"D-Robotics completes $120 million B1 funding round, with Linear Capital continuing to invest","reason":"It lays out the investor composition and the total of the two funding rounds, which can be used to assess D-Robotics' funding sources and industrial resource landscape.","source":{"name":"线性资本"},"summary":"D-Robotics announced on March 16 that it recently completed a $120 million B1 funding round, with Linear Capital, an initial-round investor, continuing to invest in subsequent rounds. Following its $100 million Series A round completed in 2025, the two rounds total $220 million. Investors include industrial capital such as Synstellation Capital, DiDi, and Meituan Longzhu, as well as strategic investment institutions such as Bairui Capital and JiuKun Venture Capital, while existing shareholders including Hillhouse Venture Capital, Vertex Growth, and Linear Capital oversubscribed in the follow-on investment.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/s2dcrwmh3bjqdz2wv8nt8x1zj","name":"RoboHot"},"publishedAt":"2026-03-16T03:39:22.000Z","discoveredAt":"2026-10-17T09:14:52.465Z","originalTitle":null},{"id":"s66swqlrni5cf6p690vj1kaor","links":{"aihot":"https://robohot.news/en/items/s66swqlrni5cf6p690vj1kaor","original":"https://mp.weixin.qq.com/s/9bjQRn28wthjtBYnLf0eqw"},"score":65,"title":"Founder of Swiss wheeled-legged robot dog company RIVR discusses last-mile delivery commercialization","reason":"Through a founder interview, it presents the commercialization path and key operational data of wheeled-legged robot dogs in last-mile delivery, offering a reference for assessing the pace of deployment.","source":{"name":"线性资本"},"summary":"Entrepreneurship Weekly interviewed Marko Bjelonic, founder of Swiss wheeled-legged robotics company RIVR, and Gus Leung, head of supply chain for China, about the progress of its robot dogs in last-mile delivery. In August this year, RIVR signed Just Eat Takeaway, Europe's largest food delivery platform; in the same period, it added Swiss Post and online supermarket Migros as customers, extending its business into fresh grocery delivery. It currently operates in Zurich, Leeds, Austin, and Boston, partnering with Evri, Veho, and others for door-to-door delivery.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/s66swqlrni5cf6p690vj1kaor","name":"RoboHot"},"publishedAt":"2025-11-27T09:03:59.000Z","discoveredAt":"2026-10-17T09:14:52.641Z","originalTitle":null},{"id":"s948irwvnqz2hqpp5ilceeh3m","links":{"aihot":"https://robohot.news/en/items/s948irwvnqz2hqpp5ilceeh3m","original":"https://www.reddit.com/r/robotics/comments/1xip9dr/getting_a_%CF%8005_policy_trained_on_one_yam_rig_to/"},"score":78,"title":"PrismaX shares π0.5 policy transfer across YAM devices: fine-tuning ablations, latency bug, and 16GB VRAM deployment","reason":"The original post provides details on fine-tuning ablations, latency troubleshooting, and VRAM compression for π0.5 policy cross-device transfer, which can be reused on existing equipment in small labs.","source":{"name":"Reddit r/robotics"},"summary":"The PrismaX team shared its practice of transferring a π0.5 policy trained on one YAM device to another YAM device, covering three parts: fine-tuning ablations, latency troubleshooting, and VRAM compression. On fine-tuning, training only the action expert yielded a 51% grasp rate and a 12% drop rate; full fine-tuning gave 89% and 53%; r=128 LoRA gave 84% and 59% while using 32GB. Strong lighting roughly halved the performance of the checkpoint trained only on the action expert.","category":"tip","selected":true,"attribution":{"url":"https://robohot.news/en/items/s948irwvnqz2hqpp5ilceeh3m","name":"RoboHot"},"publishedAt":"2026-10-29T16:46:57.000Z","discoveredAt":"2026-10-29T17:16:20.105Z","originalTitle":null},{"id":"sdqs1tml2oajcdgkg049dtj5e","links":{"aihot":"https://robohot.news/en/items/sdqs1tml2oajcdgkg049dtj5e","original":"https://mp.weixin.qq.com/s?__biz=MzE5MTY1OTQ2NQ==&mid=2247484083&idx=1&sn=416186b2be17b93ef95eb663a01d5090&chksm=978bdaf7302dabd3c88fc2b569917c47af02e8157e0a42ed59bc012c113a05bb9dda796f9b2c&scene=126&sessionid=1792334060#rd"},"score":67,"title":"RoboParty Lab, Zhejiang University, and Tsinghua AIR release and open-source world model control method INTACT","reason":"The original article provides latency and success-rate comparisons with traditional CEM search, which readers can use to judge the benefit boundaries of search-free world model control.","source":{"name":"RoboParty · 微信公众号（Roboparty萝博派对）"},"summary":"RoboParty Lab, Zhejiang University, Tsinghua University Institute for AI Industry Research (AIR), and InSpatio jointly released and open-sourced the world model control method INTACT (INtent-To-ACTion).","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/sdqs1tml2oajcdgkg049dtj5e","name":"RoboHot"},"publishedAt":"2026-07-31T09:06:28.000Z","discoveredAt":"2026-10-18T14:34:23.063Z","originalTitle":null},{"id":"shqxpd154p8fswcfe2x5dj8wh","links":{"aihot":"https://robohot.news/en/items/shqxpd154p8fswcfe2x5dj8wh","original":"https://www.youtube.com/watch?v=reiTh7K4KSc"},"score":62,"title":"Pollen Robotics launches Microduck, a $399 tiny robot that can be trained in simulation","reason":"The original article provides hardware specs, pricing, and an open-source simulation training entry point, which together indicate the learning value of this small robot for developers.","source":{"name":"Pollen Robotics · YouTube"},"summary":"Pollen Robotics has launched Microduck, a 25 cm tall, 780 g, 15-degree-of-freedom tiny robot, priced at $399 for pre-order (excluding taxes and shipping), with first deliveries targeted before Christmas 2026. It comes in four colorways: Cream, Graphite, Lavender, and Sky.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/shqxpd154p8fswcfe2x5dj8wh","name":"RoboHot"},"publishedAt":"2026-08-27T10:00:34.000Z","discoveredAt":"2026-10-17T05:08:39.344Z","originalTitle":null},{"id":"sj9ggnqiveb1e8ac6g6otrooi","links":{"aihot":"https://robohot.news/en/items/sj9ggnqiveb1e8ac6g6otrooi","original":"https://www.wandercraft.eu/articles/wandercraft-receives-fda-clearance-for-eve-the-worlds-first-self-balancing-personal-exoskeleton-for-eligible-wheelchair-users-living-with-spinal-cord-injuries-at-any-level"},"score":68,"title":"Wandercraft's self-balancing personal exoskeleton Eve wins FDA clearance, US launch planned for September 17, 2026","reason":"The original article provides specific arrangements including clearance, launch timing, reimbursement pathways, and training requirements, allowing readers to understand the progress of personal exoskeletons moving from rehabilitation toward everyday use.","source":{"name":"Wandercraft"},"summary":"Wandercraft announced that its personal self-balancing exoskeleton Eve has received FDA clearance for eligible wheelchair users with spinal cord injuries at any level, enabling them to stand, walk, and perform daily activities with both hands free, for indoor use and on adjacent open flat surfaces.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/sj9ggnqiveb1e8ac6g6otrooi","name":"RoboHot"},"publishedAt":"2026-08-10T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:40.548Z","originalTitle":null},{"id":"sknw0t7r6oub2qkv5mz9b4ti6","links":{"aihot":"https://robohot.news/en/items/sknw0t7r6oub2qkv5mz9b4ti6","original":"https://mp.weixin.qq.com/s?__biz=MzU5OTI0NTc3Mg==&mid=2247559908&idx=1&sn=d1513b84bf1752539b772f85ba02d25c&chksm=ff9a93a4461e7813e42f47ee507cb24d1944490e4ee1da5f5c9192bb0db5639a6c060fafbd02&scene=126&sessionid=1793547929#rd"},"score":78,"title":"Peking University's Dong Hao team proposes One Scan is Enough: embodied navigation post-training with a single scan","reason":"A single iPhone scan replaces manual demonstrations; 200 real-robot tests give a success-rate comparison from 25% to 85%, showing how post-training costs could fall.","source":{"name":"甲子光年 · 微信公众号"},"summary":"Dong Hao's team at Peking University has published the paper \"One Scan is Enough,\" which uses a LiDAR-equipped iPhone to scan a target environment once, automatically generates navigation tasks, and uses the reconstructed scene geometry for reinforcement post-training, without needing manual teleoperation demonstrations.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/sknw0t7r6oub2qkv5mz9b4ti6","name":"RoboHot"},"publishedAt":"2026-11-01T04:33:40.000Z","discoveredAt":"2026-11-01T15:45:37.195Z","originalTitle":null},{"id":"sm2j6ruglcma88p68aynvmt7q","links":{"aihot":"https://robohot.news/en/items/sm2j6ruglcma88p68aynvmt7q","original":"https://www.agilex.ai/news/69c10c0ccccc9218de8320a6"},"score":66,"title":"NYU open-sources YOR, a low-cost dual-arm mobile robot, with bill of materials under $10,000","reason":"An open-source dual-arm mobile platform under $10,000 offers a reproducible hardware path and measured data, making it suitable for evaluating the cost and capability trade-offs of building a mobile manipulation system in-house.","source":{"name":"松灵机器人"},"summary":"A research team at New York University has open-sourced YOR (Your Own Robot), a mobile dual-arm manipulation robot, with a bill of materials cost below $10,000. The project homepage is www.yourownrobot.ai, and the paper is at arxiv.org/abs/2602.11150.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/sm2j6ruglcma88p68aynvmt7q","name":"RoboHot"},"publishedAt":"2026-03-23T09:46:52.561Z","discoveredAt":"2026-10-17T09:08:32.297Z","originalTitle":null},{"id":"sm8j90rmhi0jyo95x4mzxqbtc","links":{"aihot":"https://robohot.news/en/items/sm8j90rmhi0jyo95x4mzxqbtc","original":"https://mp.weixin.qq.com/s?__biz=MzkzMjY2Mzc5MA==&mid=2247496047&idx=1&sn=fa410ca5d3e934577dba659ddde43856&chksm=c3ce90215a0709004ad6751630705cb036ff4b28ed64b0da08c33bc6ee62c7be6ebce8c42136&scene=126&sessionid=1792420538#rd"},"score":78,"title":"Interpretation of the first six national standards for humanoid robots: quantified metrics, recommended status, and implementation gaps","reason":"The article breaks down the six national standards item by item to identify the metrics that are actually quantified, and, comparing them with conditions on production lines and in shopping malls, explains what they govern and what they do not.","source":{"name":"人形大讲堂 · 微信公众号"},"summary":"China's first six national standards for humanoid robots have been approved and released, all taking effect on April 1, 2027. They include GB/T 48316—2026, Technical specification for humanoid robot simulation test platforms, and GB/T 48317.1 to 48317.5, Technical requirements for humanoid robots, in five parts (general provisions, environmental perception, decision planning, motion control, and task operation). The standards are administered by the National Technical Committee 591 on Robots of Standardization Administration of China (TC591).","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/sm8j90rmhi0jyo95x4mzxqbtc","name":"RoboHot"},"publishedAt":"2026-10-16T07:14:50.000Z","discoveredAt":"2026-10-19T14:35:37.275Z","originalTitle":null},{"id":"smboapys9028sxnsjts8pag0j","links":{"aihot":"https://robohot.news/en/items/smboapys9028sxnsjts8pag0j","original":"https://mp.weixin.qq.com/s/dv21OmDX_hg3sM3qVNXTbg"},"score":62,"title":"Simple AI completes Pre-A round of hundreds of millions of yuan led by Didi and lands hotel-scenario POC validation","reason":"It reports the composition of the investors and details of the hotel POC deployment, which can be used to observe how embodied AI companies leverage industrial capital to obtain real-world scenarios and supply-chain resources.","source":{"name":"线性资本"},"summary":"General-purpose embodied AI robotics company Simple AI announced it has completed a Pre-A funding round of hundreds of millions of yuan, led by Didi, with participation from Plum Ventures and Keli Sensing, and continued backing from existing shareholders Genesis Partners, Linear Capital, and Puhua Capital; the company has completed four consecutive funding rounds within one year.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/smboapys9028sxnsjts8pag0j","name":"RoboHot"},"publishedAt":"2026-06-16T09:37:59.000Z","discoveredAt":"2026-10-17T09:14:52.304Z","originalTitle":null},{"id":"smgl37fwzwjz87042zx339vko","links":{"aihot":"https://robohot.news/en/items/smgl37fwzwjz87042zx339vko","original":"https://mp.weixin.qq.com/s/z5sscBNl-gYcmNW9tlJe-g"},"score":64,"title":"Pudu Robotics completes nearly 1 billion yuan new funding round, valuation exceeds 10 billion yuan","reason":"The material provides the funding amount, valuation, investor composition, and use of funds, which can be used to assess capital flows and the competitive landscape in the commercial service robotics sector.","source":{"name":"普华资本"},"summary":"Pudu Robotics recently completed a new funding round of nearly 1 billion yuan, co-led by Longgang Financial Holdings and Asia Investment Capital, with participation from BAIC Industrial Investment, Lens Technology, Highlight Capital, and government guidance funds from multiple regions; Puhua Capital invested in its Series C round in 2022. After this round, the company's valuation exceeds 10 billion yuan, and the funds will be invested in embodied intelligence technology R&D, product matrix expansion, global market expansion, capacity building, and supply chain upgrades.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/smgl37fwzwjz87042zx339vko","name":"RoboHot"},"publishedAt":"2026-04-23T11:06:15.000Z","discoveredAt":"2026-10-17T09:14:50.046Z","originalTitle":null},{"id":"smm7loqe0284oob3dhw2yxeeg","links":{"aihot":"https://robohot.news/en/items/smm7loqe0284oob3dhw2yxeeg","original":"https://x.com/gs_ai_/status/2059690796266491946"},"score":74,"title":"Genesis AI open-sources simulation platform Genesis World 1.0, plus Quadrants and Nyx","reason":"The original text explains how simulation turns the physical-time bottleneck into a compute problem, and provides links to three open-source repositories along with performance improvement figures.","source":{"name":"Genesis AI · X"},"summary":"Genesis AI has released and open-sourced its simulation platform Genesis World 1.0, along with the GPU-accelerated computing project Quadrants and the path-tracing rendering engine Nyx, claiming that one hour of reality can become 100 days in simulation.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/smm7loqe0284oob3dhw2yxeeg","name":"RoboHot"},"publishedAt":"2026-05-27T17:38:47.000Z","discoveredAt":"2026-10-17T15:26:23.363Z","originalTitle":null},{"id":"smmj68jf5iovp03slbgnpso3a","links":{"aihot":"https://robohot.news/en/items/smmj68jf5iovp03slbgnpso3a","original":"https://www.leaderobot.com/news/9026"},"score":77,"title":"Mila and Polytechnique Montréal team open-source ~$2,000 robot guide dog Milo, built on Unitree Go2 for autonomous indoor and outdoor navigation","reason":"The original article fully breaks down Milo's perception, policy training, and real-world testing details, so readers can reuse its engineering trade-offs in their own navigation projects.","source":{"name":"LeadeRobot"},"summary":"Mila-Quebec AI Institute and a Polytechnique Montréal team have released Milo, an open-source robot guide dog that they say can cut the roughly $50,000 cost of a guide dog to about $2,000. The hardware base is a Unitree Go2 Air/Pro plus an NVIDIA Jetson Orin Nano; a magnetic-encoder telescoping handle is used to inversely solve the user's 3D position, a bird's-eye-view map is built first and then a navigation policy is run, and the policy is trained in about 10 minutes in GPU-accelerated simulation and deployed zero-shot on the real robot.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/smmj68jf5iovp03slbgnpso3a","name":"RoboHot"},"publishedAt":"2026-08-09T00:00:00.000Z","discoveredAt":"2026-10-12T09:50:13.192Z","originalTitle":null},{"id":"so06s99m3z91ipp1iojmv1kox","links":{"aihot":"https://robohot.news/en/items/so06s99m3z91ipp1iojmv1kox","original":"https://nvidianews.nvidia.com/news/nvidia-advances-isaac-platform-for-general-purpose-robotics-with-new-reference-humanoid-frameworks-simulation-pipelines-and-data"},"score":80,"title":"NVIDIA Expands Isaac Platform with New Humanoid Reference Platform, Isaac OS, and Isaac Lab 3.0","reason":"The original text lists the runtime, learning framework, and open-source workflow newly added to the Isaac platform, allowing readers to judge the specific changes in the data-to-deployment pipeline.","source":{"name":"NVIDIA"},"summary":"At GTC Berlin, NVIDIA announced an expansion of the Isaac open-source robotics development platform, adding the Isaac OS runtime, the officially released Isaac Lab 3.0 learning framework, and an open-source reference workflow based on DGX Station.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/so06s99m3z91ipp1iojmv1kox","name":"RoboHot"},"publishedAt":"2026-10-20T16:00:00.000Z","discoveredAt":"2026-10-21T10:38:43.126Z","originalTitle":null},{"id":"st09jk3zx0aqxyvq8rxyo7k1j","links":{"aihot":"https://robohot.news/en/items/st09jk3zx0aqxyvq8rxyo7k1j","original":"https://www.skild.ai/blogs/physical-self-play"},"score":62,"title":"Skild AI releases physical self-play post-training results; S1 model learns soccer in simulation and transfers to humanoid robots","reason":"The authors describe using physical self-play to let a foundation model acquire soccer skills in simulation and transfer them to real robots, which lets readers learn about a feasible path for self-play-style post-training.","source":{"name":"Skild AI"},"summary":"Skild AI announced that it post-trained its foundation model S1 through physical self-play, letting the policy play against a recent version of itself with scoring as its sole objective. In NVIDIA Isaac Sim, over 140 years of simulated time, it learned skills such as dribbling past opponents, shielding the ball, and tackling, and these skills were successfully transferred to humanoid robots for matches. The authors believe self-play can break through the capability ceiling of pretrained human data, and the next step will be to extend it to everyday tasks such as collaborative manipulation and city-scale navigation.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/st09jk3zx0aqxyvq8rxyo7k1j","name":"RoboHot"},"publishedAt":"2026-09-22T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:06.206Z","originalTitle":null},{"id":"sth5flz2u6cpyju8hoi8myy5t","links":{"aihot":"https://robohot.news/en/items/sth5flz2u6cpyju8hoi8myy5t","original":"https://www.agibot.com/article/231/detail/124.html"},"score":62,"title":"AGIBOT and ASD deploy 100 AGIBOT X2 humanoid robots as store sales assistants across 100 stores","reason":"The original article provides details such as the deployment scale, the division of in-store tasks, and livestream duration, which let readers understand how humanoid robots are actually being integrated into retail service workflows.","source":{"name":"AgiBot"},"summary":"AGIBOT has partnered with ASD (SZSE: 002403) to deploy 100 AGIBOT X2 humanoid robots in 100 retail stores in China, where they serve as customer-facing store sales assistants.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/sth5flz2u6cpyju8hoi8myy5t","name":"RoboHot"},"publishedAt":"2026-09-29T00:00:00.000Z","discoveredAt":"2026-10-12T09:50:04.540Z","originalTitle":null},{"id":"t1wahkesrvlyeu6xr27y0x87k","links":{"aihot":"https://robohot.news/en/items/t1wahkesrvlyeu6xr27y0x87k","original":"https://jxj.beijing.gov.cn/jxdt/zwyw/202608/t20260824_4833872.html"},"score":72,"title":"Second World Humanoid Robot Games opens in Beijing with 666 teams and 2,056 robots competing","reason":"By comparing results and scale with the first edition, readers can directly see how much humanoid robots have advanced in speed, jumping, and swarm operation over the past year.","source":{"name":"北京市经信局"},"summary":"The Second World Humanoid Robot Games opened on the evening of August 22 at the National Speed Skating Oval, the Ice Ribbon. Over five days, 666 teams and 2,056 robots from 16 countries across six continents will compete in 51 events. The number of teams is up 138% from the previous edition, and the number of robots has quadrupled.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/t1wahkesrvlyeu6xr27y0x87k","name":"RoboHot"},"publishedAt":"2026-08-23T09:25:00.000Z","discoveredAt":"2026-10-17T05:14:52.685Z","originalTitle":null},{"id":"t27ah6d4mjn07ctvpnq9s8ug7","links":{"aihot":"https://robohot.news/en/items/t27ah6d4mjn07ctvpnq9s8ug7","original":"https://mp.weixin.qq.com/s?__biz=MzI2MDcxMzQzOA==&mid=2247551085&idx=1&sn=baff0f838f4575a0db4696b4aad18930&chksm=eb61b1ea9b47645f8b9d8c89727bab0292f93dd0183b8e1f9da7be3b9f24f65dfea2588f420e&scene=126&sessionid=1792338081#rd"},"score":75,"title":"BAAI releases FlagEval-Robo embodied intelligence evaluation system and dual leaderboards","reason":"The evaluation uses a unified dual-track benchmark to quantify the performance gap between simulation and real robots, helping readers judge the limits of how far simulation leaderboard results can be generalized.","source":{"name":"智源研究院 · 微信公众号"},"summary":"BAAI released the FlagEval-Robo embodied intelligence evaluation system on August 21, launching the FlagEval-Robo-Sim and FlagEval-Robo-Real leaderboards and publishing evaluation results for 12 open-source models. All models underwent equal post-training on the evaluation dataset.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/t27ah6d4mjn07ctvpnq9s8ug7","name":"RoboHot"},"publishedAt":"2026-08-21T04:24:24.000Z","discoveredAt":"2026-10-18T15:41:27.641Z","originalTitle":null},{"id":"t2vofdun2dczk9xuyysu5n6mv","links":{"aihot":"https://robohot.news/en/items/t2vofdun2dczk9xuyysu5n6mv","original":"https://www.diligentrobots.com/blog/welcoming-diligent-robotics-bringing-our-autonomy-platform-into-hospitals"},"score":61,"title":"Serve Robotics completes acquisition of Diligent Robotics, bringing Moxi hospital robot into its autonomy platform","reason":"The article states that Moxi has been deployed at more than 25 US hospitals and has completed 1.25 million autonomous deliveries, which provides a basis for assessing the deployment foundation of this acquisition.","source":{"name":"Diligent"},"summary":"Serve Robotics announced it has completed its acquisition of Diligent Robotics, the maker of the autonomous hospital robot assistant Moxi. Moxi has been deployed at more than 25 hospital facilities across the US and has completed over 1.25 million autonomous deliveries, handling routine deliveries such as supplies, lab samples, and medications to give nurses more time to care for patients.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/t2vofdun2dczk9xuyysu5n6mv","name":"RoboHot"},"publishedAt":"2026-01-20T22:32:16.000Z","discoveredAt":"2026-10-17T05:08:30.389Z","originalTitle":null},{"id":"t7cmq4nwenh8toe6jl5hoziyn","links":{"aihot":"https://robohot.news/en/items/t7cmq4nwenh8toe6jl5hoziyn","original":"https://arxiv.org/abs/2609.05588"},"score":77,"title":"AgiBot Team Releases GE-Act 2.0 World-Action Model Technical Report","reason":"The original text presents the component design and data-scaling curves for pretraining a world-action model from scratch, allowing observation of changes in zero-shot cross-embodiment transfer.","source":{"name":"arXiv cs.RO"},"summary":"The AgiBot Research Team released a technical report on GE-Act 2.0, a world-action model whose generative and action components are all trained from scratch on manipulation data. It consists of a control-oriented autoencoder (CoAE), a single-step visual planner (SVP), and an inverse dynamics model (IDM), and is jointly trained with KASO.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/t7cmq4nwenh8toe6jl5hoziyn","name":"RoboHot"},"publishedAt":"2026-10-27T04:00:00.000Z","discoveredAt":"2026-10-27T04:01:25.939Z","originalTitle":null},{"id":"tdfl13x6gpmf8atrxyfwxt3wq","links":{"aihot":"https://robohot.news/en/items/tdfl13x6gpmf8atrxyfwxt3wq","original":"https://mp.weixin.qq.com/s?__biz=MzYzMTMyMTIyMw==&mid=2247484522&idx=1&sn=66f8d583aced537708be2633efb9ca27&chksm=f1425420158cffd524b5f380d20dd6194032f08dc55a1acb9de3c225cc22feb6ce98eafc7aa2&scene=126&sessionid=1792323177#rd"},"score":67,"title":"Zhijian Dynamics Showcases SimpleWAM On-Device Real-Robot Operations and CNC High-Precision Manipulation Research at IROS 2026","reason":"The original article provides specific optimization data for on-device inference latency and real-robot demonstration scenarios, which can be used to assess the practical level of this model's deployment.","source":{"name":"至简动力 · 微信公众号"},"summary":"At IROS 2026, Zhijian Dynamics debuted a real-robot demonstration of its self-developed world action model SimpleWAM, with the i7 Pro running on-device to complete tasks such as tape sealing and box packing; the i7 Pro and iX demonstrated motion control capabilities together on site.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/tdfl13x6gpmf8atrxyfwxt3wq","name":"RoboHot"},"publishedAt":"2026-09-30T10:00:00.000Z","discoveredAt":"2026-10-18T11:39:28.659Z","originalTitle":null},{"id":"thw22v6z1uothtwferosuj9mx","links":{"aihot":"https://robohot.news/en/items/thw22v6z1uothtwferosuj9mx","original":"https://www.agibot.com/article/231/detail/133.html"},"score":72,"title":"AgiBot releases embodied foundation model GO-3 Preview, ranks first on three embodied intelligence benchmarks","reason":"The original article fully discloses GO-3 Preview's three-stage design of pretraining, post-training, and post-deployment learning, which can be used to understand the engineering path for scaling embodied models across their full lifecycle.","source":{"name":"AgiBot"},"summary":"AgiBot has released the embodied foundation model GO-3 Preview, built on its self-developed WRAM (World Reasoning Action Model) architecture that unifies task understanding, future state prediction, and action generation, and it ranks first on three embodied intelligence benchmarks: RoboDojo, RoboTwin, and RoboColiseum. It is planned to be fully open-sourced by the end of 2026.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/thw22v6z1uothtwferosuj9mx","name":"RoboHot"},"publishedAt":"2026-10-29T00:00:00.000Z","discoveredAt":"2026-11-03T03:00:11.418Z","originalTitle":null},{"id":"tiovtwnwgbp0srzuyz9w9vkbd","links":{"aihot":"https://robohot.news/en/items/tiovtwnwgbp0srzuyz9w9vkbd","original":"https://www.youtube.com/watch?v=0DxxdaP7SH4"},"score":62,"title":"KAI Halo case study EgoWild2Dex: training bimanual dexterous manipulation with first-person data","reason":"The material presents a complete training path from first-person human data to robotic bimanual manipulation, along with success rates; its transferable aspect lies in its approach to data utilization.","source":{"name":"Kinetix AI · YouTube"},"summary":"The KAI Halo case study EgoWild2Dex shows how high-quality bimanual dexterous manipulation capabilities can be derived from highly challenging egocentric data. The project page is https://mmlab.hk/egowild2dex.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/tiovtwnwgbp0srzuyz9w9vkbd","name":"RoboHot"},"publishedAt":"2026-10-22T19:00:19.000Z","discoveredAt":"2026-10-22T19:53:12.238Z","originalTitle":null},{"id":"tixbsa3rjodz1lyz8f0mnzp8z","links":{"aihot":"https://robohot.news/en/items/tixbsa3rjodz1lyz8f0mnzp8z","original":"https://mp.weixin.qq.com/s/GTWZlFrFxOMYZGAad_sCVA"},"score":62,"title":"Interview with Tashi Intelligence's Chen Yilun: No VLA, no simulation—an embodied AI company's contrarian bets","reason":"The interview systematically presents technical judgments and a data approach that differ from the mainstream VLA path, giving readers a basis for understanding the specific grounds of the divergence in embodied AI approaches.","source":{"name":"线性资本"},"summary":"Linear Capital reposted LatePost's interview with Tashi Intelligence founder Chen Yilun, who laid out a technical path that differs from the mainstream: he rejects the VLA architecture that grows an action head on top of a VLM, and instead develops its own AWE (AI World Engine), aiming to represent physical quantities such as time, space, and force; it has also abandoned teleoperation data collection in favor of a self-developed collection device combining a wearable glove and a first-person-view camera.","category":"opinion","selected":true,"attribution":{"url":"https://robohot.news/en/items/tixbsa3rjodz1lyz8f0mnzp8z","name":"RoboHot"},"publishedAt":"2026-02-02T03:33:00.000Z","discoveredAt":"2026-10-17T09:14:52.516Z","originalTitle":null},{"id":"tniloosvqb1xd6lyu8cuzz04f","links":{"aihot":"https://robohot.news/en/items/tniloosvqb1xd6lyu8cuzz04f","original":"https://www.1x.tech/discover/neos-hands"},"score":65,"title":"1X releases 25-DOF tendon-driven dexterous hand for NEO humanoid robot","reason":"The original article provides key specifications and production progress for the 25-DOF tendon-driven hand, which readers can use to assess its actual impact on humanoid manipulation capabilities.","source":{"name":"1X Technologies"},"summary":"1X Technologies announced a 25-DOF tendon-driven dexterous hand for the NEO humanoid robot platform, which will ship with every NEO unit.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/tniloosvqb1xd6lyu8cuzz04f","name":"RoboHot"},"publishedAt":"2026-07-09T14:00:00.000Z","discoveredAt":"2026-10-12T09:50:43.597Z","originalTitle":null},{"id":"tp33cic962kew3xupwzft2a67","links":{"aihot":"https://robohot.news/en/items/tp33cic962kew3xupwzft2a67","original":"https://www.skydio.com/blog/skydio-blue-uas-cleared-list-2026"},"score":61,"title":"Skydio X10, Dock for X10, and R10 added to US Blue UAS Cleared List","reason":"It explains that the certification brings procurement eligibility for federal grant programs, allowing readers to judge the availability of these models in public safety and emergency scenarios.","source":{"name":"Skydio"},"summary":"Skydio announced that the X10, Dock for X10, and R10 drone solutions have been added to the US federal government's Blue UAS Cleared List, joining the X10D, which received the same designation in 2024.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/tp33cic962kew3xupwzft2a67","name":"RoboHot"},"publishedAt":"2026-07-23T21:18:00.000Z","discoveredAt":"2026-10-17T07:09:33.936Z","originalTitle":null},{"id":"tw7z33jh7x8e2kt4y9ockf6pp","links":{"aihot":"https://robohot.news/en/items/tw7z33jh7x8e2kt4y9ockf6pp","original":"https://mp.weixin.qq.com/s?__biz=MzkxMTY3MTQzNQ==&mid=2247487703&idx=1&sn=4c9e226e248f91f92c1c17a58b0ee9db&chksm=c026096b36e534d3d0c5bea9a53a39a67d16127c412fb524632d1d21df643d25e5025dc68a22&scene=126&sessionid=1793008199#rd"},"score":72,"title":"CASBOT completes several-hundred-million-yuan A++ round to advance embodied intelligence mass production and delivery","reason":"The funding announcement also disclosed shoe-making workstation cycle times and order scale, which can be used to assess the industrial deployment progress of embodied manipulation models.","source":{"name":"中科慧灵 · 微信公众号"},"summary":"CASBOT completed an A++ funding round of several hundred million yuan, jointly invested by Zhilai Investment, Yonghua Investment, Maotian Investment, Yuanhe Chenkun, Guoke Kezhi, Luning Investment and others. The funds will be used for product mass production and delivery, R&D iteration of embodied brain technology, and market expansion. The company's self-developed CASBOT PA perception-to-action model has been validated at actual workstations in a shoe factory in Putian, achieving a cycle time of 7 seconds per piece for the outsole stamping process and 18 seconds per pair for sole pressing. In 2026, its total orders for embodied shoe-making robots exceeded 400 million yuan, with equipment production scheduling reaching the scale of several thousand units.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/tw7z33jh7x8e2kt4y9ockf6pp","name":"RoboHot"},"publishedAt":"2026-10-26T01:30:00.000Z","discoveredAt":"2026-10-26T09:50:01.647Z","originalTitle":null},{"id":"twjr7975rxqrq5gqd8ycovbbs","links":{"aihot":"https://robohot.news/en/items/twjr7975rxqrq5gqd8ycovbbs","original":"https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2651069945&idx=2&sn=dc9829c3d689d8f2438948978e7607ac&chksm=85cca94af2ca98ee89f8a04c1c5fb583d12c75446c699a502d824edf71991bc651484e00bd6d&scene=126&sessionid=1792927934#rd"},"score":88,"title":"Harvard, Berkeley, NVIDIA and others propose RAX, using online exploration scaling to let robots learn skills with zero demonstrations","reason":"RAX uses a frozen model plus online exploration to generate reusable programs, leading by an average of 37.4 percentage points on five simulation benchmarks with zero action demonstrations, offering a path for robot learning different from scaling data and models.","source":{"name":"机器之心 · 微信公众号"},"summary":"A research team from Harvard, NVIDIA, Berkeley, MIT and Stanford proposes RAX (Robot Agent eXploration), which connects a general coding agent to robot perception and control interfaces, uses online exploration to write successful decisions into executable programs and accumulate them as reusable skills, while keeping model parameters frozen.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/twjr7975rxqrq5gqd8ycovbbs","name":"RoboHot"},"publishedAt":"2026-10-25T09:00:35.000Z","discoveredAt":"2026-10-25T11:32:22.652Z","originalTitle":null},{"id":"twv8ywru68z64fq6iwlpqry3w","links":{"aihot":"https://robohot.news/en/items/twv8ywru68z64fq6iwlpqry3w","original":"https://mp.weixin.qq.com/s/ChfIlobEn1pDF5UTRZUSlw"},"score":60,"title":"Yunqi Podcast Roundtable: Three Embodied AI Founders Discuss World Models, Scaling, and Deployment Bottlenecks","reason":"The three entrepreneurs approached the topic from models, hardware systems, and mobility respectively, specifically breaking down where the bottlenecks in embodied intelligence deployment lie and where they diverge on scaling efficiency.","source":{"name":"云启资本"},"summary":"During the World Robot Conference, Yunqi Capital co-hosted a themed roundtable with SEE Fund, which was included in the podcast Attent!on. Three founders—Xu Huazhe of PokeBot, Li Qiang of Quantum Dynamics, and Liu Nianqiu of Feimo Yi Technology—shared their views on world models, scaling, and deployment.","category":"opinion","selected":true,"attribution":{"url":"https://robohot.news/en/items/twv8ywru68z64fq6iwlpqry3w","name":"RoboHot"},"publishedAt":"2026-09-10T02:30:00.000Z","discoveredAt":"2026-10-17T09:13:46.890Z","originalTitle":null},{"id":"tyz801kb2iimwqjbflj9e0l63","links":{"aihot":"https://robohot.news/en/items/tyz801kb2iimwqjbflj9e0l63","original":"https://www.agile-robots.com/en/news/detail/agile-robots-closes-acquisition-of-thyssenkrupp-automation-engineering/"},"score":64,"title":"Agile Robots completes acquisition of thyssenkrupp Automation Engineering's Europe and North America assets","reason":"The acquirer describes the deal structure and business integration direction, giving readers insight into the brand and market layout after the two parties' asset handover.","source":{"name":"Agile Robots/思灵机器人"},"summary":"Agile Robots has completed its acquisition of thyssenkrupp Automation Engineering's Europe and North America assets; the deal was first announced in November 2025.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/tyz801kb2iimwqjbflj9e0l63","name":"RoboHot"},"publishedAt":"2026-04-01T06:18:45.000Z","discoveredAt":"2026-10-12T09:50:40.333Z","originalTitle":null},{"id":"u77blj14387ybtp0wc3y0i5l4","links":{"aihot":"https://robohot.news/en/items/u77blj14387ybtp0wc3y0i5l4","original":"https://roboticsandautomationnews.com/2026/10/26/dream-labs-raises-90-million-seed-funding-to-build-the-brain-for-everyday-robots/106290/"},"score":78,"title":"Dream Labs raises $90 million seed round and launches Dream API and Dream-1 model","reason":"Dream-1's cross-hardware zero-shot control and the open approach of Dream API provide a concrete reference for judging the transferability of general-purpose robot models.","source":{"name":"Robotics & Automation News"},"summary":"Dream Labs announced it has completed a $90 million seed round led by B Capital, with participation from Kindred Ventures and others. The company also launched Dream API, which can convert robot camera footage and natural-language instructions directly into motor commands, and said its flagship model Dream-1 is trained on videos of everyday human tasks and can zero-shot control any robot with a gripper.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/u77blj14387ybtp0wc3y0i5l4","name":"RoboHot"},"publishedAt":"2026-10-26T05:59:06.000Z","discoveredAt":"2026-10-26T06:49:25.607Z","originalTitle":null},{"id":"u9gwus8qvje3rgy60m7ru8i6t","links":{"aihot":"https://robohot.news/en/items/u9gwus8qvje3rgy60m7ru8i6t","original":"https://mp.weixin.qq.com/s?__biz=MzYzMTMyMTIyMw==&mid=2247484445&idx=1&sn=7497fc6a92abcef815d1bedcf0469037&chksm=f16e716fe411bcef452e36aa5dc654156316a169017ff65880e801b7038d3c61f7c45c8ebba9&scene=126&sessionid=1792409738#rd"},"score":72,"title":"Simplexity Robotics releases and open-sources world-action model SimpleWAM, with 6B model achieving on-device inference as low as 42.31ms","reason":"The original article presents the on-device optimization path from 181ms to 42ms and four architectural designs, which can be transferred to understand how world-action models can meet high-frequency closed-loop control requirements.","source":{"name":"至简动力 · 微信公众号"},"summary":"Simplexity Robotics has launched and open-sourced the world-action model SimpleWAM; the 6B-parameter version reduces inference latency on NVIDIA ThorX (T5000) from 181.23ms to 42.31ms, enabling high-frequency closed-loop operation on-device at nearly 24Hz.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/u9gwus8qvje3rgy60m7ru8i6t","name":"RoboHot"},"publishedAt":"2026-09-28T14:37:43.000Z","discoveredAt":"2026-10-19T11:35:44.550Z","originalTitle":null},{"id":"uc8cj6a23litc46nbh6hyscxs","links":{"aihot":"https://robohot.news/en/items/uc8cj6a23litc46nbh6hyscxs","original":"https://dexterity.ai/blog/nvidia-acceleration"},"score":66,"title":"Dexterity speeds up Foresight visual perception 17x with NVIDIA, from 1508ms to 90ms","reason":"The original breaks down latency data and optimization methods for each stage of the pipeline, giving robotics developers a GPU acceleration approach they can adapt to their own perception systems.","source":{"name":"Dexterity"},"summary":"Dexterity says that after NVIDIA acceleration, the visual perception pipeline of its world model Foresight cut per-cycle latency from 1508ms to 90ms, a 17x speedup.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/uc8cj6a23litc46nbh6hyscxs","name":"RoboHot"},"publishedAt":"2026-03-15T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:04.073Z","originalTitle":null},{"id":"ucoacxtocnis1fceq26448h87","links":{"aihot":"https://robohot.news/en/items/ucoacxtocnis1fceq26448h87","original":"https://www.youtube.com/watch?v=RAtzEyGBGFU"},"score":61,"title":"Pollen Robotics launches Microduck, a 25 cm small robot, priced at $399 with pre-orders open","reason":"The full hardware specs, pre-order price, and open-source repository are all public, so readers can directly judge whether this small platform suits development and multi-robot experiments.","source":{"name":"Pollen Robotics · YouTube"},"summary":"Pollen Robotics has launched Microduck, a small robot with a 25 cm body and 780 g weight, priced at $399 with pre-orders open; first deliveries are targeted for before Christmas 2026.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/ucoacxtocnis1fceq26448h87","name":"RoboHot"},"publishedAt":"2026-08-27T14:02:15.000Z","discoveredAt":"2026-10-17T05:08:39.331Z","originalTitle":null},{"id":"ud4u77g120xdtu09t1hc8o75g","links":{"aihot":"https://robohot.news/en/items/ud4u77g120xdtu09t1hc8o75g","original":"https://thehumanoid.ai/humanoid-secures-landmark-deal-with-schaeffler-to-deploy-thousands-of-humanoid-robots/"},"score":80,"title":"Humanoid signs agreement with Schaeffler to deploy four-digit number of wheeled humanoid robots by 2032","reason":"The agreement sets out a phased deployment timeline and a RaaS billing model, which can be used to gauge the pace at which humanoid robots move from proof of concept to real production lines.","source":{"name":"HUMANOID"},"summary":"UK robotics company Humanoid has signed a binding phased deployment and supply agreement with Schaeffler, targeting the deployment of a four-digit number of wheeled humanoid robots across Schaeffler's global factories by 2032. The first systems are to go live in a production environment in Germany by the end of 2026, with an initial phase from December 2026 to June 2027 covering the Herzogenaurach and Schweinfurt sites.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/ud4u77g120xdtu09t1hc8o75g","name":"RoboHot"},"publishedAt":"2026-05-13T11:22:41.000Z","discoveredAt":"2026-10-17T05:07:56.549Z","originalTitle":null},{"id":"udwqklw7351581v0uad3m2f4n","links":{"aihot":"https://robohot.news/en/items/udwqklw7351581v0uad3m2f4n","original":"https://www.shlab.org.cn/news/5444305"},"score":68,"title":"Shanghai AI Lab launches Shusheng SCP-Lab experimental equipment access and collaboration protocol","reason":"The original text presents the specific design of the layered architecture, five control granularity levels from L1 to L5, and the trusted feedback mechanism, allowing readers to understand the protocol approach for research agents to connect to heterogeneous experimental equipment.","source":{"name":"Shanghai AI Laboratory - Embodied Intelligence"},"summary":"Shanghai AI Lab has launched Shusheng SCP-Lab, an experimental equipment access and collaboration protocol based on the Scientific Context Protocol (SCP), providing research agents with a unified mechanism for device capability discovery, task interaction, and trusted feedback. It has been open-sourced.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/udwqklw7351581v0uad3m2f4n","name":"RoboHot"},"publishedAt":"2026-10-11T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:16.073Z","originalTitle":null},{"id":"uelp8709s5ce6jbjkkm0uy0yv","links":{"aihot":"https://robohot.news/en/items/uelp8709s5ce6jbjkkm0uy0yv","original":"https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2651070117&idx=2&sn=50db3b4e73608e6f97eb228ba0a62274&chksm=857b67dac9d7287150fffcf2ccb10bf5693041170fdd891b41d75a40dbbc09059447a5c36ce5&scene=126&sessionid=1793022368#rd"},"score":78,"title":"RoboCoach: Using World Models to Locate Weak Subtasks and Improve Long-Horizon Task Success Through Targeted Teaching","reason":"The paper presents a complete experiment on using a world model to locate weak subtasks and improve success rates through targeted teaching; its approach to data budget allocation may be a useful reference.","source":{"name":"机器之心 · 微信公众号"},"summary":"Zhang Changshui and Cui Sen's team at Tsinghua University propose RoboCoach, an embodied intelligence system that uses the world model CoachWorld to run closed-loop trials of long-horizon tasks in imagination, identify the first weak subtask that times out, and request targeted human teaching for it, updating only the corresponding skill expert. Under a fixed demonstration budget, the success rate rises from 13.3% to 75.0% on Franka and from 40.0% to 83.8% on AgileX, while the uniform collection baseline reaches only 30.0% and 47.5%, respectively. On four unseen new task routes, the average success rate is 35.0%, compared with 0% for the shared-policy baseline.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/uelp8709s5ce6jbjkkm0uy0yv","name":"RoboHot"},"publishedAt":"2026-10-26T04:15:00.000Z","discoveredAt":"2026-10-26T13:46:47.430Z","originalTitle":null},{"id":"uf3eiv1oxnbu05488l5iliqmg","links":{"aihot":"https://robohot.news/en/items/uf3eiv1oxnbu05488l5iliqmg","original":"https://www.youtube.com/watch?v=ggfsGD1PCQA"},"score":72,"title":"Genesis AI open-sources simulation platform Genesis World 1.0","reason":"The article provides quantitative comparisons of startup and runtime performance, making it easier to judge how far it shifts real-world validation into a compute problem.","source":{"name":"Genesis AI · YouTube"},"summary":"Genesis AI has released and open-sourced Genesis World 1.0, the second product in its full-stack suite, alongside the Quadrants compute library and the Nyx rendering engine.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/uf3eiv1oxnbu05488l5iliqmg","name":"RoboHot"},"publishedAt":"2026-05-27T17:11:31.000Z","discoveredAt":"2026-10-17T09:09:34.348Z","originalTitle":null},{"id":"uh8bgibwhbxtn088gdxy12gk7","links":{"aihot":"https://robohot.news/en/items/uh8bgibwhbxtn088gdxy12gk7","original":"https://www.dobot.cn/news/blog/1448.html"},"score":68,"title":"Dobot secures over 80.5 million yuan embodied intelligence robot order from Ruidefeng","reason":"The original text provides the order amount, the buyer, and specific application stages, allowing readers to understand the implementation details of humanoid robots entering precision manufacturing production lines.","source":{"name":"Dobot/越疆机器人"},"summary":"On October 29, 2025, Dobot Robotics (2432.HK) signed a procurement contract with Ruidefeng Precision Technology Co., Ltd. totaling over 80.5 million yuan, covering products and solutions for humanoid robots and embodied intelligence collaborative robots. The robots will handle tasks including high-precision assembly, complex material flow, and flexible production line collaboration in new energy precision manufacturing scenarios. The two parties will also build an intelligent manufacturing solution based on Dobot's multi-form robots, including humanoid, wheeled, and multi-legged plus robotic arm configurations.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/uh8bgibwhbxtn088gdxy12gk7","name":"RoboHot"},"publishedAt":"2025-12-03T16:00:00.000Z","discoveredAt":"2026-10-12T11:51:35.001Z","originalTitle":null},{"id":"uh96s9u2ea0yl95rwddzyknwm","links":{"aihot":"https://robohot.news/en/items/uh96s9u2ea0yl95rwddzyknwm","original":"https://www.mk.co.kr/en/it/12097011"},"score":63,"title":"Holiday Robotics raises KRW 155 billion Series A, largest in Korea","reason":"The report provides the funding size, mass-production timeline, and pricing targets, giving readers a basis for understanding the commercialization pace of this Korean humanoid robotics company.","source":{"name":"Holiday Robotics"},"summary":"Humanoid robotics startup Holiday Robotics announced on the 13th that it has closed a KRW 155 billion Series A round, the largest single-round investment for a Korean startup Series A and for a humanoid robotics company. The funds will be used to upgrade its mass-production system, expand its R&D team to more than 100 people, and build manufacturing infrastructure with annual capacity of more than 10,000 units. Its humanoid robot FRIDAY targets repetitive tasks in manufacturing, with commercialization planned for the second half of this year, production capacity of 100 units per year by 2026 and 1,000 units by 2027, and a near-term goal of lowering the product price to about KRW 100 million.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/uh96s9u2ea0yl95rwddzyknwm","name":"RoboHot"},"publishedAt":"2026-07-13T00:00:00.000Z","discoveredAt":"2026-10-12T09:51:08.031Z","originalTitle":null},{"id":"uhzrme7bvp9xmjym24lz195v8","links":{"aihot":"https://robohot.news/en/items/uhzrme7bvp9xmjym24lz195v8","original":"https://www.shlab.org.cn/news/5444312"},"score":60,"title":"Shanghai AI Laboratory and partners jointly launch materials multimodal large model \"Caihua·MatVerse\"","reason":"The materials present a multimodal unified representation architecture and 19-category disciplinary evaluation benchmarks, offering insight into how materials large models can move from retrieval to mechanistic reasoning.","source":{"name":"Shanghai AI Laboratory - Embodied Intelligence"},"summary":"Suzhou National Laboratory, Shanghai AI Laboratory, Shanghai Jiao Tong University and others jointly launched the \"Caihua·MatVerse\" materials multimodal large model and agent application system, which uses an \"independent encoders plus unified decoder\" architecture to align XRD spectra, electron microscope images and molecular structures into the same semantic space.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/uhzrme7bvp9xmjym24lz195v8","name":"RoboHot"},"publishedAt":"2026-10-27T16:00:00.000Z","discoveredAt":"2026-11-02T07:41:41.663Z","originalTitle":null},{"id":"uloe3pnpsh9q4molci1kwqx6b","links":{"aihot":"https://robohot.news/en/items/uloe3pnpsh9q4molci1kwqx6b","original":"https://www.youtube.com/watch?v=4YSQxKb22UY"},"score":67,"title":"LingBot-VA 2.0 released: a world-action model for physical-world robot control","reason":"It provides a same-benchmark success-rate comparison with π0.5 and single-GPU real-time inference metrics, helping to gauge where this kind of world-action model stands in terms of performance.","source":{"name":"蚂蚁灵波科技 · YouTube"},"summary":"Ant Group's Lingbo Technology has released LingBot-VA 2.0, which it describes as a world-action model pretrained from scratch for physical-world robot control, running real-time inference at 150 Hz on a single GPU and able to play air hockey, tidy desks, and pick chips from a conveyor belt.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/uloe3pnpsh9q4molci1kwqx6b","name":"RoboHot"},"publishedAt":"2026-07-11T17:07:28.000Z","discoveredAt":"2026-10-17T09:10:30.609Z","originalTitle":null},{"id":"utyr9zi1w0j0wmm9qpqo51git","links":{"aihot":"https://robohot.news/en/items/utyr9zi1w0j0wmm9qpqo51git","original":"https://www.schaeffler.com/en/media/press-releases/press-releases-detail.jsp?id=88223233&ref=rss"},"score":62,"title":"Schaeffler and Wandelbots enter technology partnership to advance Physical AI deployment in factories worldwide","reason":"The original text explains the scope of the partnership, the simulation validation toolchain, and the skills store mechanism, which helps readers understand the path for embodied intelligence deployment across multinational manufacturing networks.","source":{"name":"Schaeffler"},"summary":"Schaeffler and German robotics and Physical AI company Wandelbots have entered a technology partnership to jointly develop the Wandelbots NOVA open platform for AI applications in industrial and humanoid robots.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/utyr9zi1w0j0wmm9qpqo51git","name":"RoboHot"},"publishedAt":"2026-10-22T08:58:20.000Z","discoveredAt":"2026-10-22T08:00:17.405Z","originalTitle":null},{"id":"uu3kpgjmasdxojetgcjcq2wjc","links":{"aihot":"https://robohot.news/en/items/uu3kpgjmasdxojetgcjcq2wjc","original":"https://arxiv.org/abs/2610.20320"},"score":80,"title":"TacClaw-Infinity: A Large-Scale Vision-Tactile-Language-Action Dataset for Dexterous Manipulation","reason":"This dataset provides a collection interface and quality control pipeline for ten-thousand-hour-scale tactile manipulation data, and its cross-embodiment transfer validation approach can serve as a reference.","source":{"name":"arXiv cs.RO"},"summary":"The research team released TacClaw-Infinity, a large-scale structured Vision-Tactile-Language-Action (VTLA) dataset for contact-rich manipulation, spanning over 10,000 hours, 1 million episodes, and 1 billion frames across more than 1,000 task types.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/uu3kpgjmasdxojetgcjcq2wjc","name":"RoboHot"},"publishedAt":"2026-11-02T05:00:00.000Z","discoveredAt":"2026-11-02T05:01:36.965Z","originalTitle":null},{"id":"uzkrb7n10jj5g7adtn2oo101k","links":{"aihot":"https://robohot.news/en/items/uzkrb7n10jj5g7adtn2oo101k","original":"https://www.robot.com/blog/presenting-r-knav-dataset-fomo-challenge"},"score":68,"title":"Robot.com releases R-KNav 10,000-hour sidewalk navigation dataset and launches FoMo Challenge","reason":"The data comes from a long-running commercial delivery fleet rather than simulation, and the KPI criteria for physical-robot evaluation have been published, making it possible to assess the reusability of real-street navigation data.","source":{"name":"Robot.com Holdings Inc."},"summary":"Robot.com has released the R-KNav dataset and launched the FoMo Challenge, inviting the community to train visual navigation models on real data from its R-kiwi sidewalk delivery robot fleet and to evaluate them in controlled tests on physical robots.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/uzkrb7n10jj5g7adtn2oo101k","name":"RoboHot"},"publishedAt":"2026-06-23T16:00:00.000Z","discoveredAt":"2026-10-17T05:07:48.894Z","originalTitle":null},{"id":"v2gtx3aph0spkfs98mn8x7mme","links":{"aihot":"https://robohot.news/en/items/v2gtx3aph0spkfs98mn8x7mme","original":"https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2651070899&idx=1&sn=79fca61238019e09fdc1d38766304109&chksm=85fb538fddf952b1f54d1175e8dbd12c3e7e23f280b2a992ca462bbf9ab6957c2b4d0893d5f5&scene=126&sessionid=1793284300#rd"},"score":82,"title":"X-Era AI opensources 4D world action model E0.5, real-robot success rate surpasses π0.5","reason":"The original text provides real-robot success rate comparisons between E0.5 and π0.5 on dual-arm and humanoid platforms, which can be used to assess the manipulation generalization performance of the 3D geometric backbone approach.","source":{"name":"机器之心 · 微信公众号"},"summary":"X-Era AI has open-sourced its native 4D world action model E0.5, achieving overall average success rates of 85.0% and 88.3% on the AgileX Piper dual-arm robot and the Zerith H1 humanoid robot, respectively, 13.3 and 26.7 percentage points higher than π0.5.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/v2gtx3aph0spkfs98mn8x7mme","name":"RoboHot"},"publishedAt":"2026-10-29T04:01:20.000Z","discoveredAt":"2026-10-29T14:31:47.438Z","originalTitle":null},{"id":"v9117dm21ab0ilu5lilr5emna","links":{"aihot":"https://robohot.news/en/items/v9117dm21ab0ilu5lilr5emna","original":"https://www.figure.ai/news/figure-announces-strategic-partnership-with-brookfield"},"score":69,"title":"Figure AI and Brookfield Announce Strategic Partnership to Build Humanoid Robot Pretraining Dataset","reason":"The official partnership announcement covers three areas: data scale, infrastructure, and deployment, letting readers understand how the data sources support scaling Helix.","source":{"name":"Figure AI"},"summary":"Figure AI announced a strategic partnership with Brookfield. Brookfield, which manages over 1 trillion USD in assets and owns more than 100,000 residential units, will help Figure build a real-world humanoid robot pretraining dataset, build the AI infrastructure needed to scale Helix (Figure's in-house vision-language-action model), and explore commercial deployment of humanoid robots.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/v9117dm21ab0ilu5lilr5emna","name":"RoboHot"},"publishedAt":"2025-09-17T00:00:00.000Z","discoveredAt":"2026-10-12T11:50:34.704Z","originalTitle":null},{"id":"v9be6odykoztfjsh7ghhw5h94","links":{"aihot":"https://robohot.news/en/items/v9be6odykoztfjsh7ghhw5h94","original":"https://mp.weixin.qq.com/s?__biz=MzI2MDcxMzQzOA==&mid=2247550957&idx=1&sn=64a281477f0223d93d1e58b025146aff&chksm=ebbb37ae78934fa0bacccc3a1011e7e7569f396219a4b5b6d2ed09b41e333190cc57dfd96dc6&scene=126&sessionid=1792341620#rd"},"score":72,"title":"Zhongzhi FlagOS completes Day0 adaptation of Qwen3.8-2.4T across nine chips","reason":"The article presents a zero-code-change adaptation path and a quantization compression scheme, which readers can use to assess how existing domestic compute can support ultra-large models.","source":{"name":"智源研究院 · 微信公众号"},"summary":"On the first day of Alibaba's open-source release of the 2.4-trillion-parameter MoE model Qwen3.8-2.4T-A95B, the Zhongzhi FlagOS community completed multi-chip adaptation, precision alignment, and deployment validation across 9 AI chips, providing BF16, FP8, INT8, and other multi-precision versions.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/v9be6odykoztfjsh7ghhw5h94","name":"RoboHot"},"publishedAt":"2026-08-13T07:42:06.000Z","discoveredAt":"2026-10-18T16:40:26.462Z","originalTitle":null},{"id":"v9ecm7d92q3fcsr6txahku1yf","links":{"aihot":"https://robohot.news/en/items/v9ecm7d92q3fcsr6txahku1yf","original":"https://www.skild.ai/blogs/series-c"},"score":82,"title":"Skild AI announces completion of $1.4 billion Series C funding, valuation exceeds $14 billion","reason":"The official disclosure of funding size, valuation, and revenue data gives readers insight into the commercialization progress of this general-purpose robotics model company.","source":{"name":"Skild AI"},"summary":"Skild AI announced the completion of a $1.4 billion Series C funding round led by SoftBank, with participation from NVentures (NVIDIA), Macquarie Capital, Jeff Bezos, and others, at a valuation exceeding $14 billion.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/v9ecm7d92q3fcsr6txahku1yf","name":"RoboHot"},"publishedAt":"2026-01-13T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:06.308Z","originalTitle":null},{"id":"vhbtxk25loopn05co8b1rv92m","links":{"aihot":"https://robohot.news/en/items/vhbtxk25loopn05co8b1rv92m","original":"https://www.psibot.ai/%e7%81%b5%e5%88%9d%e6%99%ba%e8%83%bd%e4%b8%8e%e5%8c%97%e5%a4%a7-%e7%81%b5%e5%88%9d%e8%81%94%e5%90%88%e5%ae%9e%e9%aa%8c%e5%ae%a4%e5%85%b1%e5%90%8c%e5%8f%91%e5%b8%83%e5%b9%b6%e5%bc%80%e6%ba%90%e5%8f%8c/"},"score":81,"title":"Lingchu Intelligence and PKU-Lingchu Joint Lab Release and Open-Source Dual Dexterous Hand General Manipulation Model and Full-Stack System EgoSteer","reason":"The original text presents a complete chain from human-hand data processing and real-robot correction to model architecture and experimental figures, allowing readers to assess its reproducibility value.","source":{"name":"PsiBot/灵初智能"},"summary":"Lingchu Intelligence and the PKU-Lingchu Joint Lab released and open-sourced the dual dexterous hand general manipulation model and full-stack system EgoSteer, comprising the data processing pipeline EgoSmith, the robotics technology stack Robot-Stack, and a world-model-enhanced VLA model.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/vhbtxk25loopn05co8b1rv92m","name":"RoboHot"},"publishedAt":"2026-07-13T17:15:13.000Z","discoveredAt":"2026-10-12T09:50:36.996Z","originalTitle":null},{"id":"vjeknp350xrt8d223xocs3gpf","links":{"aihot":"https://robohot.news/en/items/vjeknp350xrt8d223xocs3gpf","original":"https://www.figure.ai/news/helix-2-5-zero-shot-30-home-generalization"},"score":79,"title":"Figure AI releases Helix 2.5, achieving zero-shot full-body autonomy in 30 unfamiliar homes","reason":"The original article provides controlled comparison data on Index pretraining for zero-shot generalization and evaluation details, helping readers understand the actual level of humanoid robot pretraining transfer.","source":{"name":"Figure AI"},"summary":"Figure AI released Helix 2.5, which completed three long-horizon full-body behaviors—tidying a living room, folding towels, and making a bed—zero-shot in 30 Bay Area homes where no data had ever been collected, without collecting data or fine-tuning in the evaluation environments.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/vjeknp350xrt8d223xocs3gpf","name":"RoboHot"},"publishedAt":"2026-09-17T13:00:00.000Z","discoveredAt":"2026-10-12T09:50:03.184Z","originalTitle":null},{"id":"vmddl336vhav19whisfbzthhd","links":{"aihot":"https://robohot.news/en/items/vmddl336vhav19whisfbzthhd","original":"https://mp.weixin.qq.com/s?__biz=MzU0OTc0Mjg0NQ==&mid=2247495575&idx=1&sn=5c6ff65cbc0c438a111d992e689d648a&chksm=fa53e024d36dbcbcb188e68b01cb683196ad4d16c00a95c90b3970e859c93c999489f4b69e07&scene=126&sessionid=1792928588#rd"},"score":72,"title":"DEEP Robotics unveils five embodied brain results: world model DR-WM-1.0, VLA model DR-VLA-2.0, and more","reason":"The five results span world models, VLA, policy optimization, and data benchmarks, offering a way to compare the division of labor and metrics across the full embodied brain pipeline.","source":{"name":"云深处科技 · 微信公众号"},"summary":"DEEP Robotics has released five research results centered on its self-developed embodied brain, DEEPRobotics-Brain, including the world model DR-WM-1.0, the embodied foundation model DR-VLA-2.0, the embodied agent DR-Agent, the policy optimization framework DR-APO, and the data closed-loop platform DR-Benchmark. The company is also collaborating with seven universities, including MIT, Tsinghua, and Zhejiang University.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/vmddl336vhav19whisfbzthhd","name":"RoboHot"},"publishedAt":"2026-10-23T09:55:03.000Z","discoveredAt":"2026-10-25T11:43:17.106Z","originalTitle":null},{"id":"vr711wdzah95yuryy0v1k1vkr","links":{"aihot":"https://robohot.news/en/items/vr711wdzah95yuryy0v1k1vkr","original":"https://boosterobotics.medium.com/booster-robotics-raises-nearly-usd-150-million-leading-the-industry-in-commercial-growth-82bf7a89aa63?source=rss-d8a8164d3c8d------2"},"score":68,"title":"Booster Robotics closes nearly $150 million funding round, Booster K1 shipments exceed 1,000 units","reason":"The original article provides operating data such as the funding size and shipment and order growth rates, helping readers understand the commercialization progress of this small humanoid robot company.","source":{"name":"Booster Robotics/加速进化"},"summary":"Booster Robotics announced it has closed a funding round of nearly $150 million, led jointly by the Beijing High-tech Industry Investment Fund, Jingguosheng Fund, and Huakong Fund, with IDG Capital and Source Code Capital increasing their investment. Q1 2026 shipments grew 500% year over year, and new orders signed in January and February grew more than 800% year over year; Booster K1 has shipped over 1,000 units worldwide, covering more than 20 countries and over 400 organizations. The funding will be used for a global delivery network, embodied intelligence model and algorithm R&D, and product iteration.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/vr711wdzah95yuryy0v1k1vkr","name":"RoboHot"},"publishedAt":"2026-07-17T08:16:21.000Z","discoveredAt":"2026-10-12T09:50:38.970Z","originalTitle":null},{"id":"vs1okmd8e8p92sm6rppf812y3","links":{"aihot":"https://robohot.news/en/items/vs1okmd8e8p92sm6rppf812y3","original":"https://www.figure.ai/news/scaling-helix-logistics"},"score":75,"title":"Figure AI reports three-month Helix logistics deployment progress: 4.05 seconds per item, about 95% barcode success rate","reason":"The original article provides the data scale and ablation experiment details for each architecture module, allowing readers to understand the specific sources of the logistics performance improvement.","source":{"name":"Figure AI"},"summary":"Figure AI released progress on Helix's capabilities after three months of deployment in a logistics environment: per-item processing time fell from about 5.0 seconds to 4.05 seconds, barcode scanning success rate rose from about 70% to about 95%, and the system gained the ability to handle flexible packages such as poly bags and flat envelopes.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/vs1okmd8e8p92sm6rppf812y3","name":"RoboHot"},"publishedAt":"2025-06-07T00:00:00.000Z","discoveredAt":"2026-10-12T11:50:34.787Z","originalTitle":null},{"id":"w4l1osflq9so892ml5v2vz216","links":{"aihot":"https://robohot.news/en/items/w4l1osflq9so892ml5v2vz216","original":"https://arstechnica.com/ai/2026/05/3d-printable-humanoid-legs-let-robotics-experiments-run-wild/"},"score":79,"title":"Hugging Face launches LeRobot Humanoid 3D-printed bipedal robot platform at about $2,500","reason":"The original text explains the hardware cost, the open materials, and the simulation-to-real design loop, which can be used to assess the impact of a low-cost humanoid platform on research workflows.","source":{"name":"Ars Technica"},"summary":"Hugging Face has released the LeRobot Humanoid full-stack project, with a pair of humanoid robot legs priced at $2,500, built from 3D-printed parts and off-the-shelf components. The release includes a bill of materials, 3D printing files, wiring documentation, assembly instructions, and software tools for calibrating and controlling the robot both on the physical body and in simulation.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/w4l1osflq9so892ml5v2vz216","name":"RoboHot"},"publishedAt":"2026-05-26T17:16:07.000Z","discoveredAt":"2026-10-17T05:14:50.883Z","originalTitle":null},{"id":"w4ykr8e6n2b5ahqnqnmip1y6i","links":{"aihot":"https://robohot.news/en/items/w4ykr8e6n2b5ahqnqnmip1y6i","original":"https://www.dobot.cn/news/blog/1546.html"},"score":64,"title":"Dobot begins mass production delivery of third batch of full-size industrial humanoid robot ATOM","reason":"The source, provided by the party involved, describes progress on the third batch's mass production delivery and its deployment in real scenarios, giving readers a sense of the pace of its industrialization.","source":{"name":"Dobot/越疆机器人"},"summary":"Dobot Robotics has officially begun mass production delivery of the third batch of its full-size industrial humanoid robot ATOM, deploying it to frontline industrial applications worldwide. ATOM runs on the self-developed DOBOT-VLA model, which combines vision, language, and action for autonomous decision-making; its joint modules have undergone nearly 10,000 cycle tests, and it supports coordinated scheduling with wheeled and multi-legged robots on a unified platform.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/w4ykr8e6n2b5ahqnqnmip1y6i","name":"RoboHot"},"publishedAt":"2026-03-23T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:36.936Z","originalTitle":null},{"id":"w657lppbke15o3hm773ktt1uy","links":{"aihot":"https://robohot.news/en/items/w657lppbke15o3hm773ktt1uy","original":"https://mp.weixin.qq.com/s?__biz=Mzk0NDU5NjMwMA==&mid=2247495505&idx=2&sn=75bb37052df7581a543d082a1f3af4d9&chksm=c267290da624806b931490dc6f8a7b0c537e60735bfd52ed9d60883f0a31b256f96bda521bb3&scene=126&sessionid=1792935926#rd"},"score":82,"title":"NVIDIA open-sources robot data engine Flora, labeling cost about 1/125 that of GPT-6 Astra","reason":"NVIDIA's open-source data engine cuts robot video labeling costs to about 1/125 of a general-purpose large model and provides several benchmark comparisons, which can be used to assess the substitution space in the data labeling segment.","source":{"name":"机器人前瞻 · 微信公众号"},"summary":"NVIDIA released and open-sourced the data engine Flora, which converts raw robot video into training data such as timestamped action descriptions, process rewards, and outcome rewards; it is already used to train the GR00T series models. Flora consists of an action description model, a temporal segmentation model, and a reward model, fine-tuned from the Qwen3.5 series of vision-language models, and can label 200,000 hours of data per day on 512 GB300 GPUs.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/w657lppbke15o3hm773ktt1uy","name":"RoboHot"},"publishedAt":"2026-10-21T11:00:00.000Z","discoveredAt":"2026-10-25T13:45:32.471Z","originalTitle":null},{"id":"w6k53zfnr76fcht6u4u3r4fum","links":{"aihot":"https://robohot.news/en/items/w6k53zfnr76fcht6u4u3r4fum","original":"https://www.agibot.com/article/231/detail/130.html"},"score":73,"title":"AgiBot releases Genie Studio 2.0 embodied intelligence development and deployment platform","reason":"The original text provides the platform's three major modules and validation data from multiple production lines, which can be used to assess the engineering chain of embodied applications from development to operations.","source":{"name":"AgiBot"},"summary":"AgiBot has released Genie Studio 2.0, an embodied intelligence application platform covering development, deployment, and operations. It consists of three modules—Flywheel, Agent, and Monitor—that connect data collection, model training, evaluation, inference, task orchestration, and robot fleet management.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/w6k53zfnr76fcht6u4u3r4fum","name":"RoboHot"},"publishedAt":"2026-10-26T00:00:00.000Z","discoveredAt":"2026-10-27T03:17:26.348Z","originalTitle":null},{"id":"w6souzjy0mxhjggrztgl1g25t","links":{"aihot":"https://robohot.news/en/items/w6souzjy0mxhjggrztgl1g25t","original":"https://www.psibot.ai/%e7%81%b5%e5%88%9d%e6%99%ba%e8%83%bd%e6%96%b0%e4%b8%80%e4%bb%a3%e5%85%b7%e8%ba%ab%e6%a8%a1%e5%9e%8b%e5%8f%91%e5%b8%83%ef%bc%8c%e5%85%a8%e7%90%83%e6%9c%80%e5%a4%a7%e4%ba%ba%e7%b1%bb%e6%89%8b%e9%83%a8/"},"score":75,"title":"Lingchu Intelligence releases Psi-R2 and Psi-W0, open-sources 1,000-hour full-modality human hand manipulation dataset","reason":"The original text provides the division of labor between the two new models and the open-source data entry point, so readers can assess the feasibility of using human data for robot training.","source":{"name":"PsiBot/灵初智能"},"summary":"On April 10, Lingchu Intelligence released Psi-R2, pretrained on human data, and the Action-Conditioned World Model Psi-W0, and open-sourced the first 1,000 hours of a full-modality human hand manipulation dataset, with total data reserves reaching 100,000 hours.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/w6souzjy0mxhjggrztgl1g25t","name":"RoboHot"},"publishedAt":"2026-04-22T03:09:21.000Z","discoveredAt":"2026-10-12T09:50:37.006Z","originalTitle":null},{"id":"w7j55f4hk0l78y47ylrz6oa4z","links":{"aihot":"https://robohot.news/en/items/w7j55f4hk0l78y47ylrz6oa4z","original":"https://mp.weixin.qq.com/s?__biz=MzI2MDcxMzQzOA==&mid=2247550800&idx=1&sn=f91ad6a9a7e29e4acad25f54cdea5ac8&chksm=eb65fef2d32f0fb92e972b6f1c7f4c61ff37c945471681d80ffde7bc6a2f5d1a3f0a9e5f7c4c&scene=126&sessionid=1792575143#rd"},"score":74,"title":"BAAI releases multimodal representation world model Wujie·RoboBrain Orca","reason":"The original text explains the training paradigm shift from predicting the next output to predicting the next state, as well as the approach of a frozen backbone plus lightweight readout modules, which is transferable to readers following the world model route.","source":{"name":"智源研究院 · 微信公众号"},"summary":"BAAI has released the multimodal representation world model Wujie·RoboBrain Orca. Its core idea is to shift from predicting the next word, next frame, or next action to predicting the next world state: it first learns a unified latent world representation, then adapts to downstream tasks through three lightweight readout modules for text, images, and actions.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/w7j55f4hk0l78y47ylrz6oa4z","name":"RoboHot"},"publishedAt":"2026-07-07T05:06:22.000Z","discoveredAt":"2026-10-21T09:32:56.058Z","originalTitle":null},{"id":"w8nqze0tr4oqud4lgwhmuxzbg","links":{"aihot":"https://robohot.news/en/items/w8nqze0tr4oqud4lgwhmuxzbg","original":"https://arxiv.org/abs/2610.31859"},"score":78,"title":"Study: Full-weight VLA fine-tuning without an fp32 master copy silently erases most updates","reason":"The original quantifies the proportion of updates lost in bf16 fine-tuning and provides a LIBERO success-rate comparison for the fp32 master copy, which can serve as a reference for training configurations.","source":{"name":"arXiv cs.RO"},"summary":"The paper points out that when VLA models are fully fine-tuned in bf16 without keeping an fp32 master copy, AdamW rounds away any update smaller than 1/512 of a weight; 9 of 12 open-source VLA codebases train this way by default or in documented recipes, including LeRobot's SmolVLA default configuration and the π0/π0.5 guides.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/w8nqze0tr4oqud4lgwhmuxzbg","name":"RoboHot"},"publishedAt":"2026-10-26T04:00:00.000Z","discoveredAt":"2026-10-26T04:01:21.931Z","originalTitle":null},{"id":"wae981kzjn16c8hz0p7ymtxat","links":{"aihot":"https://robohot.news/en/items/wae981kzjn16c8hz0p7ymtxat","original":"https://www.roboforce.ai/news/roboforce-fundraising-announcement-2026-03"},"score":72,"title":"RoboForce closes $52 million funding round, bringing total funding to $67 million","reason":"The funding announcement also explains the use of funds and the technology stack partnership with NVIDIA, which readers can use to understand the company's path to deployment in its next stage.","source":{"name":"RoboForce"},"summary":"RoboForce announced an oversubscribed $52 million funding round, bringing its cumulative funding to $67 million. The round was led by YZi Labs, with participation from Jerry Yang. The new capital will be used to accelerate next-generation robot foundation models, scale general-purpose Physical AI robots, and advance manufacturing readiness for commercial deployment.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/wae981kzjn16c8hz0p7ymtxat","name":"RoboHot"},"publishedAt":"2026-03-16T07:00:00.000Z","discoveredAt":"2026-10-12T09:50:46.421Z","originalTitle":null},{"id":"wancci4pe5p82bivwkmlvhnww","links":{"aihot":"https://robohot.news/en/items/wancci4pe5p82bivwkmlvhnww","original":"https://www.x-humanoid.com/news-view-330.html"},"score":66,"title":"\"Embodied Intelligent Robot Application Technician\" enters national list of new professions, with Beijing Humanoid providing technical support for the application","reason":"The original article outlines the definition of the new profession, its boundaries with similar occupations, and its main tasks, so practitioners can use it to understand the job profile and the direction of future occupational standards.","source":{"name":"Beijing Humanoid Robot Innovation Center"},"summary":"On September 9, the Ministry of Human Resources and Social Security and other departments released the eighth batch of 11 new professions, and \"Embodied Intelligent Robot Application Technician\" (occupation code 4-04-05-16) was officially added to the national occupational list. The Beijing Humanoid Robot Innovation Center led the technical support work, including job research, argumentation on occupational boundaries, and drafting of application materials, with the Chinese Institute of Electronics as the proposing organization.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/wancci4pe5p82bivwkmlvhnww","name":"RoboHot"},"publishedAt":"2026-09-17T00:00:00.000Z","discoveredAt":"2026-10-12T09:50:04.775Z","originalTitle":null},{"id":"we6q2bet4bms1tmutsagldk5d","links":{"aihot":"https://robohot.news/en/items/we6q2bet4bms1tmutsagldk5d","original":"https://mp.weixin.qq.com/s/kozDP2BhxSgwINWnrc-2bA?scene=1&click_id=11"},"score":66,"title":"Amazon acquires Swiss wheel-legged robotics company RIVR, with Linear Capital as lead investor in its first round","reason":"It lays out RIVR's full path from fundraising to acquisition, helping readers understand the practical progress of wheel-legged last-mile delivery robots in Europe.","source":{"name":"线性资本"},"summary":"Amazon has completed its acquisition of Swiss robotics startup RIVR, and the RIVR team will join Amazon. RIVR was founded in April 2023 and is headquartered in Zurich; formerly known as Swiss-Mile, it completed its first funding round in November 2023, led by Linear Capital with Agile Robots participating, and in August 2024 received joint investment from Amazon, Bezos Expeditions, Sequoia China, and others.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/we6q2bet4bms1tmutsagldk5d","name":"RoboHot"},"publishedAt":"2026-03-23T01:04:03.000Z","discoveredAt":"2026-10-17T09:14:52.445Z","originalTitle":null},{"id":"wfe2h2ddz3oiiyv2cy0fh6h5j","links":{"aihot":"https://robohot.news/en/items/wfe2h2ddz3oiiyv2cy0fh6h5j","original":"https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2651070983&idx=1&sn=d47470e0625fe320c1c43284d25520bc&chksm=85dd2ecc87d372a1f86a5d59925a135906cd11b0b69faedcf6b3b365bdcff234fb39627aa6f1&scene=126&sessionid=1793284300#rd"},"score":78,"title":"AgiBot releases embodied model GO-3 Preview, enabling full-pipeline scaled learning from pretraining to post-deployment","reason":"AgiBot disclosed GO-3 Preview's three-stage learning pipeline of pretraining, post-training, and post-deployment, along with specific benefit data from mixed training using real-machine clusters and world models.","source":{"name":"机器之心 · 微信公众号"},"summary":"AgiBot has released the embodied model GO-3 Preview, focused on full-pipeline scaled learning across pretraining, post-training, and post-deployment, and it ranked first in three evaluations: RoboDojo, RoboTwin, and RoboColiseum.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/wfe2h2ddz3oiiyv2cy0fh6h5j","name":"RoboHot"},"publishedAt":"2026-10-29T10:03:24.000Z","discoveredAt":"2026-10-29T14:31:47.438Z","originalTitle":null},{"id":"wflhrdv2ggif1icqfbtr0mqwp","links":{"aihot":"https://robohot.news/en/items/wflhrdv2ggif1icqfbtr0mqwp","original":"https://thehumanoid.ai/siemens-and-humanoid-bring-physical-ai-to-the-factory-floor-deploying-humanoids-in-industrial-operations-with-nvidia/"},"score":62,"title":"Siemens and Humanoid test HMND 01 humanoid robot for autonomous bin handling at German factory","reason":"Specific capacity and success-rate metrics were disclosed, allowing readers to gauge the maturity of humanoid robots in real factory logistics operations.","source":{"name":"HUMANOID"},"summary":"Siemens and Humanoid announced that Humanoid's HMND 01 wheeled Alpha humanoid robot has completed testing in logistics operations at Siemens' electronics factory in Erlangen, Germany, autonomously performing tasks to grasp, move, and place bins for operators.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/wflhrdv2ggif1icqfbtr0mqwp","name":"RoboHot"},"publishedAt":"2026-04-16T13:11:23.000Z","discoveredAt":"2026-10-17T05:07:56.568Z","originalTitle":null},{"id":"wjzmi0x00tc59bjjfq7bi4crb","links":{"aihot":"https://robohot.news/en/items/wjzmi0x00tc59bjjfq7bi4crb","original":"https://mp.weixin.qq.com/s/gr8BoAoerADtWYgNq77HXQ"},"score":60,"title":"Synrise completes Pre-A round exclusively invested by Yunqi, first smart knee S5 in mass production","reason":"An approach to human augmentation starting from intelligent prosthetics, showing how an algorithm foundation can be reused across products and accumulate real gait data.","source":{"name":"云启资本"},"summary":"Synrise announced the completion of a Pre-A funding round exclusively invested by Yunqi Capital, with proceeds going toward the SynchroMind algorithm foundation, R&D for next-generation products, and global market expansion. Within one year of founding, the company's first product, the Synrise S5 bionic intelligent hydraulic knee, has entered mass production, completed validation deployments in Europe, and received orders exceeding ten million yuan from domestic and overseas markets. A next-generation AI active-power knee is now in R&D, aiming to move from compliant motion to active power output.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/wjzmi0x00tc59bjjfq7bi4crb","name":"RoboHot"},"publishedAt":"2026-10-27T09:17:16.000Z","discoveredAt":"2026-10-29T10:43:27.463Z","originalTitle":null},{"id":"wk1e1etr5ecjolmc11m2svcph","links":{"aihot":"https://robohot.news/en/items/wk1e1etr5ecjolmc11m2svcph","original":"https://mp.weixin.qq.com/s?__biz=MzI2NDk5NzA0Mw==&mid=2248907426&idx=2&sn=75b5ddbe356b1fd7f8c766a9d08fb172&chksm=e8ba927f29965db35749723f77b87443db877c441b3130f816d1c058b4f426375a1e313861a0&scene=126&sessionid=1793197170#rd"},"score":84,"title":"Google DeepMind releases world model Genie 4, supporting real-time interaction and native audio","reason":"Genie 4 combines real-time world simulation, native audio, and multi-step reasoning, which lets readers judge that robot training environments are shifting from manual modeling to generative simulation.","source":{"name":"36氪 · 微信公众号"},"summary":"Google DeepMind released its next-generation general world model Genie 4 on the evening of the 28th. It can generate and modify interactive scenes in real time based on prompts, sustaining a single coherent world for about 2 minutes at roughly 24 frames per second.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/wk1e1etr5ecjolmc11m2svcph","name":"RoboHot"},"publishedAt":"2026-10-28T09:33:41.000Z","discoveredAt":"2026-10-28T14:19:32.145Z","originalTitle":null},{"id":"wrt9wfyniwdjh9jyxci4loknk","links":{"aihot":"https://robohot.news/en/items/wrt9wfyniwdjh9jyxci4loknk","original":"https://medium.com/toyotaresearch/statistical-thinking-for-robot-policy-evaluation-from-rigorous-a-b-testing-to-effective-0ae886fbd68d?source=rss----5ae16151c64e---4"},"score":77,"title":"Toyota Research Institute explains statistical thinking for robot policy evaluation: from rigorous A/B testing to effective visualization","reason":"The TRI authors systematically explain statistical pitfalls and reusable tools in robot policy A/B testing, with runnable Python examples.","source":{"name":"Toyota Research Institute Robotics"},"summary":"The Toyota Research Institute (TRI) published a tutorial article introducing a statistical A/B testing method based on success/failure labels for robot policy evaluation.","category":"tip","selected":true,"attribution":{"url":"https://robohot.news/en/items/wrt9wfyniwdjh9jyxci4loknk","name":"RoboHot"},"publishedAt":"2026-03-06T15:32:44.000Z","discoveredAt":"2026-10-12T09:50:06.054Z","originalTitle":null},{"id":"wsksl35zhxtm15us8hqe8u162","links":{"aihot":"https://robohot.news/en/items/wsksl35zhxtm15us8hqe8u162","original":"https://www.ri.cmu.edu/a-little-wiggle-helps-robots-learn-the-ropes/"},"score":62,"title":"CMU proposes Wiggle and Go: estimating physical properties of ropes by wiggling to plan manipulation","reason":"The method estimates a rope's physical properties from a single wiggle and then plans actions accordingly, offering a transferable approach to deformable object manipulation.","source":{"name":"CMU Robotics Institute"},"summary":"A team at CMU's Robotics Institute has proposed the Wiggle and Go system, in which a robot first briefly wiggles a rope or cable while an overhead camera records how the waves propagate; a computer vision algorithm then tracks the motion and estimates the object's physical properties, which are used to plan subsequent actions without repeated trial and error. The model is trained entirely in simulation, and properties are then estimated from the motion of real ropes being wiggled to improve prediction accuracy on real hardware. The research has been accepted to the 2026 Conference on Robot Learning (CoRL) and will be presented next month in Austin; it is partly funded by the U.S. National Science Foundation.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/wsksl35zhxtm15us8hqe8u162","name":"RoboHot"},"publishedAt":"2026-10-29T15:29:49.000Z","discoveredAt":"2026-10-29T16:15:21.690Z","originalTitle":null},{"id":"x0a03vpc7kzmdopvlkdbqu1t3","links":{"aihot":"https://robohot.news/en/items/x0a03vpc7kzmdopvlkdbqu1t3","original":"https://mp.weixin.qq.com/s/1QeIkiBvhPo4I7U7rTcV7Q"},"score":60,"title":"Qiongche Intelligence completes several hundred million yuan Series A funding, with Puhua Capital and multiple institutions investing","reason":"The report covers the funding amount, investor composition, and commercialization progress, which can be used to assess the capital and implementation pace of the embodied brain sector.","source":{"name":"普华资本"},"summary":"Qiongche Intelligence announced the completion of a Series A funding round of several hundred million yuan. Investors include Puhua Capital, C Capital, Sea Limited, Prosperity7 Ventures, and multiple other overseas industrial parties and domestic institutions. The funds will be used for embodied brain R&D iteration and multi-scenario commercialization.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/x0a03vpc7kzmdopvlkdbqu1t3","name":"RoboHot"},"publishedAt":"2026-02-10T04:05:05.000Z","discoveredAt":"2026-10-17T09:14:50.211Z","originalTitle":null},{"id":"x2bul7oudbrxqi2krb6gpj4om","links":{"aihot":"https://robohot.news/en/items/x2bul7oudbrxqi2krb6gpj4om","original":"https://arxiv.org/abs/2610.41857"},"score":80,"title":"SimuGuard: Auditing Contact Artifacts in Simulation Benchmarks Such as LIBERO and RoboTwin","reason":"The original traces failures in simulation benchmarks to a physics engine collision detection constant and provides a before-and-after success rate comparison, which can serve as a reference for teams doing simulation evaluation.","source":{"name":"arXiv cs.RO"},"summary":"The authors propose SimuGuard, an auditing plugin for LIBERO, RoboTwin, RoboCasa, and RoboDojo that identifies failures caused by the simulator rather than the policy. On RoboTwin, the authors trace these failures to the physics engine's collision detection: when geometry is 1 to 2 centimeters apart, the engine reports a penetration of about 2 centimeters, and the solver ejects the object at several meters per second because the distance algorithm discards triangles below a fixed area threshold.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/x2bul7oudbrxqi2krb6gpj4om","name":"RoboHot"},"publishedAt":"2026-11-02T05:00:00.000Z","discoveredAt":"2026-11-02T05:01:36.437Z","originalTitle":null},{"id":"x31g42pymfzkv4rqhclpqq01e","links":{"aihot":"https://robohot.news/en/items/x31g42pymfzkv4rqhclpqq01e","original":"https://arxiv.org/abs/2603.19233"},"score":78,"title":"Activation injection study dissects vision-language-action models","reason":"The study uses activation injection to break down the internal computation of VLA policies, offering a mechanistic explanation for understanding their perturbation brittleness.","source":{"name":"arXiv cs.RO"},"summary":"Researchers propose an interpretability pipeline to analyze what a fine-tuned vision-language-action (VLA) policy is computing internally. On pi0.5, injecting task A's activations into the action expert while the policy views task B's scene caused 99.6% of episodes (n=1968) to execute task A's motor trajectory, indicating the injected program is bound to absolute workspace coordinates and ignores the visible scene.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/x31g42pymfzkv4rqhclpqq01e","name":"RoboHot"},"publishedAt":"2026-10-21T04:00:00.000Z","discoveredAt":"2026-10-21T04:00:40.875Z","originalTitle":null},{"id":"x3lgce0ptj469nw06s3ogcxon","links":{"aihot":"https://robohot.news/en/items/x3lgce0ptj469nw06s3ogcxon","original":"https://huggingface.co/papers/2610.40799"},"score":79,"title":"CaPtain: A Post-Training Pipeline for Code-as-Policy Robot Agents","reason":"The work proposes using a physical critic to assign credit across multi-turn code policies and presents a complete training procedure for small models on LIBERO and real robots.","source":{"name":"HuggingFace Daily Papers"},"summary":"CaPtain proposes an open post-training pipeline that trains small open vision-language models such as Qwen3.5-4B into code-as-policy (CaP) robot agents that do not rely on VLAs, frontier models, or privileged state at test time.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/x3lgce0ptj469nw06s3ogcxon","name":"RoboHot"},"publishedAt":"2026-10-29T00:00:00.000Z","discoveredAt":"2026-11-02T04:41:36.282Z","originalTitle":null},{"id":"x4u15pxhuolfhbpbsioegn9ix","links":{"aihot":"https://robohot.news/en/items/x4u15pxhuolfhbpbsioegn9ix","original":"https://www.youtube.com/watch?v=1C_mTccWypQ"},"score":61,"title":"LingBot-Depth 2.0 spatial perception model for robots released, can see through glass and mirrors","reason":"The original text provides benchmark rankings, the change in depth error on the hardest indoor scenes, and an open-weights link, helping readers judge the improvement over the previous generation and how reusable it is.","source":{"name":"蚂蚁灵波科技 · YouTube"},"summary":"LingBot-Depth 2.0 has been released, a next-generation spatial perception model for robots that focuses on perception of glass, mirrors, and transparent objects. It was trained on 150M-scale data (50 times that of v1.0) and took first place in 12 of 16 depth completion benchmarks; on the hardest indoor scenes, depth error RMSE dropped from 0.132 to 0.062.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/x4u15pxhuolfhbpbsioegn9ix","name":"RoboHot"},"publishedAt":"2026-07-06T18:26:39.000Z","discoveredAt":"2026-10-17T09:10:30.639Z","originalTitle":null},{"id":"x5exgtdnt2gs81xvxbvtmdyn2","links":{"aihot":"https://robohot.news/en/items/x5exgtdnt2gs81xvxbvtmdyn2","original":"https://www.rimocap.com/131.html"},"score":67,"title":"Shanghe Momentum participates in Huixi Intelligence's Pre-B+ and B rounds; cumulative funding exceeds 2.5 billion yuan this year","reason":"Beyond the financing information, the article provides success-rate data for Guangzhi R1 running continuous production-line operations on the AgiBot Genie G2 for 6 days, which can serve as a reference for judging the progress of embodied compute deployment.","source":{"name":"上河动量"},"summary":"Embodied intelligence high-compute chip company Huixi Intelligence has completed Pre-B+ and B rounds of financing, with Shanghe Momentum participating in this round. The round was led by the Beijing Artificial Intelligence Industry Investment Fund, and the company's cumulative equity financing in 2026 has exceeded 2.5 billion yuan.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/x5exgtdnt2gs81xvxbvtmdyn2","name":"RoboHot"},"publishedAt":"2026-10-22T00:00:00.000Z","discoveredAt":"2026-10-28T08:19:38.845Z","originalTitle":null},{"id":"x8ewq6t29v5dxjzh6w8z0aye0","links":{"aihot":"https://robohot.news/en/items/x8ewq6t29v5dxjzh6w8z0aye0","original":"https://en.sedaily.com/technology/2026/07/22/holiday-robotics-wins-best-paper-award-at-worlds-top"},"score":62,"title":"Holiday Robotics's FlashSAC Paper Wins RSS 2026 Best Paper Award, a First for a Korean Team","reason":"The original text provides verifiable details such as FlashSAC's training speed and validation scope, letting readers understand how reinforcement learning algorithms can shorten the humanoid robot policy development cycle.","source":{"name":"Holiday Robotics"},"summary":"A paper by Holiday Robotics researchers won the Best Paper Award at RSS 2026, a first for a Korean team. Its FlashSAC is a reinforcement learning algorithm that shortens humanoid robot walking training from several hours to a few minutes, overcoming the trade-off between learning speed and stability.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/x8ewq6t29v5dxjzh6w8z0aye0","name":"RoboHot"},"publishedAt":"2026-07-22T00:00:00.000Z","discoveredAt":"2026-10-12T09:51:08.024Z","originalTitle":null},{"id":"xc8hahom2aqwfb48yi8sv2aub","links":{"aihot":"https://robohot.news/en/items/xc8hahom2aqwfb48yi8sv2aub","original":"https://www.diligentrobots.com/blog/serve-robotics-to-acquire-diligent-robotics-expandingphysical-ai-platform-beyond-the-sidewalk"},"score":71,"title":"Serve Robotics to acquire Diligent Robotics, expanding autonomous robotics platform to indoor hospital settings","reason":"The materials lay out Moxi's deployment scale and the per-hospital annual sales range, making it easier to assess the acquisition's actual weight for Serve's revenue mix and platform expansion.","source":{"name":"Diligent"},"summary":"Serve Robotics announced it has signed an agreement to acquire Diligent Robotics, with consideration consisting of $29 million in the company's common stock paid to Diligent shareholders (subject to adjustments such as net debt), plus up to $5.3 million in milestone earnouts. The deal is expected to close in the first quarter of 2026, and Diligent will continue to operate as a Serve subsidiary under the leadership of Andrea Thomaz.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/xc8hahom2aqwfb48yi8sv2aub","name":"RoboHot"},"publishedAt":"2026-01-20T21:30:00.000Z","discoveredAt":"2026-10-17T05:08:30.399Z","originalTitle":null},{"id":"xdm6bofmsfxs72ywsyokmbp6r","links":{"aihot":"https://robohot.news/en/items/xdm6bofmsfxs72ywsyokmbp6r","original":"https://www.limxdynamics.com/zh/news/BK000056"},"score":73,"title":"LimX Dynamics completes $200 million Series B funding","reason":"The funding was officially announced by the company itself, with specific investors listed and the three major technology directions the funds will be invested in as well as recent product background explained, making the information complete and verifiable.","source":{"name":"LimX Dynamics"},"summary":"LimX Dynamics announced the completion of a $200 million Series B funding round. Investors include Stone Venture, Oriental Fortune Capital and other institutions, as well as strategic industry investors such as JD.com and Zhongding Group, while existing shareholders including Shangqi Capital and NIO Capital continued to increase their investment. The company said it will increase R&D and market investment, focusing on three major capabilities: body hardware, cerebellum foundation models, and an embodied Agentic OS, and mentioned the TRON 2 multi-form embodied robot and the LimX COSA embodied intelligent agent OS system released in the past two months.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/xdm6bofmsfxs72ywsyokmbp6r","name":"RoboHot"},"publishedAt":"2026-02-01T16:00:00.000Z","discoveredAt":"2026-10-12T11:50:40.992Z","originalTitle":null},{"id":"xmapvapbo8ks64903jpgkck0r","links":{"aihot":"https://robohot.news/en/items/xmapvapbo8ks64903jpgkck0r","original":"https://mp.weixin.qq.com/s?__biz=MzU3MjQ2MDcwNQ==&mid=2247780543&idx=2&sn=cf7d08339a03ee3600bddfbd0096db20&chksm=fd4b7886d51339d88ff193ed3051f23e1cf63edf6fb42da28ec5a606ec92413c894fb698bffa&scene=126&sessionid=1792319780#rd"},"score":67,"title":"Astribot completes new RMB 1 billion funding round at RMB 15 billion valuation","reason":"It lays out the pace of Astribot's four funding rounds in six months and details of its full-stack architecture, helping readers understand the commercial and technical basis behind its rapid valuation rise.","source":{"name":"深圳市机器人协会 · 微信公众号"},"summary":"Astribot recently completed a new funding round of RMB 1 billion at a valuation of RMB 15 billion, led by Toushe Donghai (Shenzhen Investment Holdings), with participation from Hongtai Fund, Ninghai Xingtaihe Fund, and Shanheng Capital, and follow-on investment from existing shareholder Xianmu. This is its fourth funding round in the past six months; since March 2026 it has completed a Series A+, Series A++, Series B, and this round, with its valuation rising from RMB 10 billion to RMB 15 billion within three months.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/xmapvapbo8ks64903jpgkck0r","name":"RoboHot"},"publishedAt":"2026-10-14T11:25:52.000Z","discoveredAt":"2026-10-18T10:36:27.378Z","originalTitle":null},{"id":"xmmv20okywif43pwowsr3722q","links":{"aihot":"https://robohot.news/en/items/xmmv20okywif43pwowsr3722q","original":"https://www.robotics247.com/article/walmart-symbotic-expand-commercial-agreement-to-support-supply-chain-transformation"},"score":78,"title":"Walmart and Symbotic expand commercial agreement to add automation capabilities to 25 US regional distribution centers","reason":"The agreement covers 25 regional distribution centers with an initial commitment of about $6 billion, making the scale of warehouse automation deployment in retail supply chains observable.","source":{"name":"Robotics 24/7"},"summary":"Walmart and Symbotic announced an expansion of their commercial agreement that will bring more automation capabilities to 25 US regional distribution centers and support additional opportunities across Walmart's global supply chain network. The agreement includes an initial commitment of about $6 billion, covering multi-site, multi-year work. Symbotic says its integrated technologies, such as its BreakPack each-picking solution and SymMicro micro-fulfillment platform, are supported by AI software used to schedule and optimize the flow of millions of cases per day.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/xmmv20okywif43pwowsr3722q","name":"RoboHot"},"publishedAt":"2026-11-02T17:36:00.000Z","discoveredAt":"2026-11-02T17:42:07.012Z","originalTitle":null},{"id":"xp17tnv8x80y10pl4excr1hyt","links":{"aihot":"https://robohot.news/en/items/xp17tnv8x80y10pl4excr1hyt","original":"https://36kr.com/p/4047032889800965?f=rss"},"score":78,"title":"AgiBot Releases GO-3 Preview, WITA-OMNI and AGILE, Connecting the Full Physical AI Chain","reason":"AgiBot released three types of models—task execution, interaction and motion—along with software and hardware architectures in one go, giving readers a clear view of its deployment approach across the full physical AI chain.","source":{"name":"36Kr Embodied Intelligence"},"summary":"At its Innovation Day, AgiBot released the GO-3 Preview embodied foundation model, the WITA-OMNI native multimodal interaction model and the AGILE general motion intelligence algorithm framework, and also launched Lingqu OS 1.0 and the AHA3 third-generation hardware architecture.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/xp17tnv8x80y10pl4excr1hyt","name":"RoboHot"},"publishedAt":"2026-10-29T14:25:57.000Z","discoveredAt":"2026-10-29T14:38:17.961Z","originalTitle":null},{"id":"xtk7jvaxoh4xukolnslwxvayl","links":{"aihot":"https://robohot.news/en/items/xtk7jvaxoh4xukolnslwxvayl","original":"https://www.livoxtech.com/news/avia-2_launch"},"score":62,"title":"Livox releases ultra-long-range LiDAR Avia 2, with maximum detection range of up to 1,000 meters","reason":"The original article lists measured detection ranges at different reflectivities and field-of-view switching options, which can be used to assess the deployment cost of replacing multiple sensors with a single device.","source":{"name":"Livox"},"summary":"Livox has released the ultra-long-range LiDAR Avia 2, aimed at power line inspection, roadside obstacle detection, and bulk material measurement in coal yards and grain silos, with a maximum cutoff detection range of up to 1,000 meters using a 1535nm laser.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/xtk7jvaxoh4xukolnslwxvayl","name":"RoboHot"},"publishedAt":"2026-07-30T00:00:00.000Z","discoveredAt":"2026-10-17T05:11:55.505Z","originalTitle":null},{"id":"xui25bxx1u9br5ihj6ubwhu2w","links":{"aihot":"https://robohot.news/en/items/xui25bxx1u9br5ihj6ubwhu2w","original":"https://www.agilityrobotics.com/content/gxo-and-agility-robotics-expand-partnership-to-accelerate-deployment-of-humanoids-in-u-s-operations"},"score":68,"title":"GXO and Agility Robotics expand partnership to deploy Digit humanoid robots at North Carolina and Tennessee sites","reason":"After Digit cumulatively moved more than 100,000 totes in GXO warehouses, the partnership has expanded from a single-site pilot to multiple sites, offering a way to observe the pace of commercial deployment of humanoid robots.","source":{"name":"Agility Robotics"},"summary":"GXO and Agility Robotics are expanding their partnership to deploy Digit humanoid robots at sites in Statesville, North Carolina, and Lebanon, Tennessee, handling repetitive material-handling tasks in e-commerce fulfillment. Deployment of Digit 4 is expected to begin in early 2027, with a migration once Digit 5 is commercially available.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/xui25bxx1u9br5ihj6ubwhu2w","name":"RoboHot"},"publishedAt":"2026-10-25T16:00:00.000Z","discoveredAt":"2026-10-26T11:53:22.500Z","originalTitle":null},{"id":"xus9a5la1t7xmspcfuvr90saj","links":{"aihot":"https://robohot.news/en/items/xus9a5la1t7xmspcfuvr90saj","original":"https://www.figure.ai/news/project-go-big"},"score":72,"title":"Figure launches Project Go-Big: Helix learns navigation zero-shot from human first-person video alone","reason":"The original gives the training method by which Helix learned navigation using only human video and the scale details of the Brookfield data partnership, offering a view of actual progress on the humanoid pretraining data approach.","source":{"name":"Figure AI"},"summary":"Figure announced two advances in Project Go-Big: a partnership with Brookfield to build a large-scale humanoid pretraining dataset, with Brookfield holding over 100,000 homes, 500 million square feet of commercial office space, and 160 million square feet of logistics space; and Helix, after training on 100% first-person human video, responding to natural-language commands such as \"go to the fridge\" without any robot demonstrations, navigating cluttered real home environments.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/xus9a5la1t7xmspcfuvr90saj","name":"RoboHot"},"publishedAt":"2025-09-18T00:00:00.000Z","discoveredAt":"2026-10-12T11:50:34.695Z","originalTitle":null},{"id":"xx5k6s45g4qswq3lcx8xnaj1i","links":{"aihot":"https://robohot.news/en/items/xx5k6s45g4qswq3lcx8xnaj1i","original":"https://faunarobotics.com/news/fauna-robotics-launches-sprout-the-easiest-way-to-build-with-humanoids"},"score":63,"title":"Fauna Robotics exits stealth mode to launch Sprout humanoid robot platform","reason":"The company has released an official lightweight humanoid platform for developers, detailing its safety design approach, configuration list, and SDK capabilities, which can help readers assess its usability in shared-space scenarios.","source":{"name":"Fauna Robotics"},"summary":"Fauna Robotics has released Sprout, its first humanoid robot platform, shipping the same day in a Creator Edition aimed at developers, researchers, and creators building embodied intelligence applications.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/xx5k6s45g4qswq3lcx8xnaj1i","name":"RoboHot"},"publishedAt":"2026-01-27T05:00:00.000Z","discoveredAt":"2026-10-12T09:51:35.886Z","originalTitle":null},{"id":"y5voqh65ccm6d6ai42y7jcgnk","links":{"aihot":"https://robohot.news/en/items/y5voqh65ccm6d6ai42y7jcgnk","original":"https://robot.ofweek.com/2026-09/ART-898890-8460-30702897.html"},"score":76,"title":"UBTech's Liuzhou 10,000-unit industrial humanoid robot smart factory goes into operation","reason":"Beyond the production start news, it adds analysis of capacity and orders and of the gap between training and real production lines, so readers can assess the practical constraints on scaling humanoid robot deployment.","source":{"name":"OFweek Robotics"},"summary":"On September 12, UBTech's Liuzhou factory went into operation. The company officially calls it the world's first 10,000-unit-class industrial humanoid robot super smart factory, covering 14,000 square meters, rolling one unit off the line every 10 minutes, with annual capacity exceeding 10,000 units. At the factory, CruzrY1 and S2 handle depalletizing, palletizing, and material feeding, with digital twin technology in cooperation with Siemens; a single robot tightens more than 2,000 screws across more than 50 specifications, and complete-machine quality inspection takes over 4 hours.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/y5voqh65ccm6d6ai42y7jcgnk","name":"RoboHot"},"publishedAt":"2026-09-14T03:16:00.000Z","discoveredAt":"2026-10-12T17:51:39.419Z","originalTitle":null},{"id":"ybvbeazcd1ordd1jrl056jq24","links":{"aihot":"https://robohot.news/en/items/ybvbeazcd1ordd1jrl056jq24","original":"https://www.intrinsic.ai/blog/posts/foxconn-and-intrinsic-launch-joint-venture-to-build-the-ai-factory-of-the-future"},"score":61,"title":"Foxconn and Intrinsic Form Joint Venture to Build Smart Factories for Electronics Assembly","reason":"The source is an official release from both partners, explaining the joint venture's goals, deployment scenarios, and the platform used, so readers can understand the specific path by which AI robotics is entering electronics assembly.","source":{"name":"Intrinsic"},"summary":"Foxconn and Intrinsic announced at Hon Hai Tech Day 2025 the formation of a US-headquartered joint venture aimed at moving electronics assembly from product-specific automation to more general-purpose intelligent robotics, with the goal of gradually achieving full-factory automation.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/ybvbeazcd1ordd1jrl056jq24","name":"RoboHot"},"publishedAt":"2025-11-19T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:03.086Z","originalTitle":null},{"id":"yex5ht3m9z7wng8ecmhsx4lzd","links":{"aihot":"https://robohot.news/en/items/yex5ht3m9z7wng8ecmhsx4lzd","original":"https://rainbow-robotics.com/%ea%b3%b5%ec%9e%a5-%ec%9e%90%eb%8f%99%ed%99%94-%ea%b1%b0%ec%b3%90-%ea%b0%80%ec%a0%95%ec%9c%bc%eb%a1%9c-%ec%82%bc%ec%84%b1-%eb%a1%9c%eb%b4%87-%ec%83%81%ec%9a%a9%ed%99%94-%eb%a1%9c/"},"score":63,"title":"Samsung unveils robot commercialization roadmap: factory automation first, then the home","reason":"The article lays out the cost math for a humanoid robot at about $100,000 per unit and a three-layer behavior stack, helping readers understand why Samsung puts factory automation ahead of home robots.","source":{"name":"Rainbow Robotics"},"summary":"At the Samsung AI Forum 2026, Samsung announced its robot commercialization roadmap. Centered on its newly established RX (Robot eXperience) business promotion office, the plan is to first advance automation at its more than 100 factories and more than 100 production lines, then enter the home assistant robot market.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/yex5ht3m9z7wng8ecmhsx4lzd","name":"RoboHot"},"publishedAt":"2026-10-02T02:57:42.000Z","discoveredAt":"2026-10-17T05:08:08.851Z","originalTitle":null},{"id":"yggaoe7nbw253all45uq04ec9","links":{"aihot":"https://robohot.news/en/items/yggaoe7nbw253all45uq04ec9","original":"https://www.youtube.com/watch?v=osKK342YM80"},"score":69,"title":"Matrix Robotics launches its first mass-production humanoid robot MATRIX-3, with MATRIX-3 PRO starting at $99,000","reason":"It disclosed the full specifications, key components, and starting price of the mass-production model, giving readers a basis to judge the current hardware specifications and commercial positioning of humanoid robots.","source":{"name":"矩阵超智 · YouTube"},"summary":"At AI DAY 2026, Matrix Robotics unveiled MATRIX-3, its first mass-production humanoid robot. The robot is 170 cm tall, weighs 65 kg, features 27-DOF dexterous hands, has a 4-hour battery life and a 30 kg payload, and maintains a standard walking speed of 3.9 km/h.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/yggaoe7nbw253all45uq04ec9","name":"RoboHot"},"publishedAt":"2026-05-19T01:16:09.000Z","discoveredAt":"2026-10-17T09:10:30.593Z","originalTitle":null},{"id":"ygoho3u2ai48inv8mqc4qjm8o","links":{"aihot":"https://robohot.news/en/items/ygoho3u2ai48inv8mqc4qjm8o","original":"https://mp.weixin.qq.com/s?__biz=MzkxMTY3MTQzNQ==&mid=2247487489&idx=1&sn=357fd68a0f69a89ae7ba291194824dbd&chksm=c0a6b0c8f853ae0234cfad8db465f649bc0d8c992f71edacfaca8e6cf4bad6ebb648da30d94a&scene=126&sessionid=1792593834#rd"},"score":65,"title":"CASIA and others propose World4RL: diffusion world model combined with reinforcement learning to optimize robot manipulation policies, real-world success rate rises to 93.3%","reason":"The paper turns the world model from a trajectory-prediction tool used at test time into a reinforcement learning training environment, giving readers a concrete path to understanding how the cost of real-robot interaction can be reduced.","source":{"name":"中科慧灵 · 微信公众号"},"summary":"The Institute of Automation of the Chinese Academy of Sciences, Zhongguancun Academy, and the CASBOT team propose World4RL, a policy optimization framework for robot manipulation that combines a diffusion world model with reinforcement learning, enabling robot policies to be optimized end-to-end in imagined trajectories generated by the model without additional real-robot interaction.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/ygoho3u2ai48inv8mqc4qjm8o","name":"RoboHot"},"publishedAt":"2026-09-04T10:00:00.000Z","discoveredAt":"2026-10-21T14:44:01.726Z","originalTitle":null},{"id":"yn34a07pdy6vguosr8jpnu6xm","links":{"aihot":"https://robohot.news/en/items/yn34a07pdy6vguosr8jpnu6xm","original":"https://www.figure.ai/news/f-03-at-bmw"},"score":63,"title":"Figure 03 arrives at BMW Spartanburg plant for sequencing sorting tasks","reason":"The company has released details of Figure 03's deployment scenario at the BMW plant and of its Helix 02 drive, so readers can learn about progress in bringing humanoid robots from material handling to complex sorting.","source":{"name":"Figure AI"},"summary":"Figure AI announced that the Figure 03 humanoid robot has entered Hall 52 at BMW Group Plant Spartanburg, shifting from the sheet metal loading and unloading work previously done by Figure 02 to a sequencing sorting use case; Figure 02 took part in assembling 30,000 vehicles last year.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/yn34a07pdy6vguosr8jpnu6xm","name":"RoboHot"},"publishedAt":"2026-06-30T08:00:00.000Z","discoveredAt":"2026-10-12T09:50:03.412Z","originalTitle":null},{"id":"ypsqld6ugen3fopaowy032uc2","links":{"aihot":"https://robohot.news/en/items/ypsqld6ugen3fopaowy032uc2","original":"https://www.limxdynamics.com/zh/news/BK000047"},"score":70,"title":"LimX Dynamics launches multi-form embodied robot TRON 2, open for pre-order from 49,800 yuan","reason":"The original text provides the one-body, three-form configurations, the dual-arm specifications, and the pre-order price, which readers can use to assess its suitability for VLA and mobile manipulation development.","source":{"name":"LimX Dynamics"},"summary":"LimX Dynamics has launched the multi-form embodied robot TRON 2, whose single body can quickly switch between three configurations: dual-arm, bipedal, and dual-wheel-legged. It is priced from 49,800 yuan and is open for pre-order starting today. The dual-arm configuration is a 7-DoF humanoid design with a 70 cm arm span and a 10 kg dual-arm payload, and the body has a maximum load capacity of 60 kg. In bipedal form it has a 4-hour battery life and a maximum payload of 30 kg, and it can perceive its surroundings and climb stairs.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/ypsqld6ugen3fopaowy032uc2","name":"RoboHot"},"publishedAt":"2025-12-18T09:09:32.000Z","discoveredAt":"2026-10-12T09:50:08.540Z","originalTitle":null},{"id":"yvcgdy4l7nqwi0ov5vn3y3bk1","links":{"aihot":"https://robohot.news/en/items/yvcgdy4l7nqwi0ov5vn3y3bk1","original":"https://mp.weixin.qq.com/s?__biz=MzkzNDk4MzEyNg==&mid=2247485547&idx=1&sn=0353e9e9d9cff91bfe1b9d51e578a7ad&chksm=c3db560964fd973484537da1852f784a6f3d5336b76cf2763af349a44ffb44c6e880c60980ee&scene=126&sessionid=1792424080#rd"},"score":73,"title":"Force Spirit DM0.5 Tops All Four RoboColiseum Leaderboards","reason":"The original article lists DM0.5's specific scores on multiple leaderboards and its inference latency reduction data, which can be used to assess the practical effectiveness of its pretraining approach.","source":{"name":"Dexmal 原力灵机 · 微信公众号"},"summary":"Force Spirit announced that DM0.5 has topped all four RoboColiseum leaderboards (instruction following, spatial understanding, perturbation adaptation, and general manipulation), making it the only model on the leaderboards to rank first in every evaluation.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/yvcgdy4l7nqwi0ov5vn3y3bk1","name":"RoboHot"},"publishedAt":"2026-09-14T01:00:00.000Z","discoveredAt":"2026-10-19T15:34:48.739Z","originalTitle":null},{"id":"yxxf2aow1adxtrcd9igvrgtbo","links":{"aihot":"https://robohot.news/en/items/yxxf2aow1adxtrcd9igvrgtbo","original":"https://neura-robotics.com/tum-robogym-munich-4ne1-gen4-launch/"},"score":74,"title":"NEURA Robotics unveils 4NE1 Gen 4 humanoid robot and opens TUM RoboGym with Technical University of Munich","reason":"The original text covers both the new robot's hardware changes and the three sources of training data, letting readers understand NEURA's approach of tying data infrastructure to the hardware launch.","source":{"name":"NEURA Robotics"},"summary":"NEURA Robotics and the Technical University of Munich (TUM) have opened TUM RoboGym at LabCampus near Munich Airport, covering more than 2,300 square meters. TUM MIRMI is a co-builder, the initial collaboration runs for three years, and the two parties are jointly investing about 17 million euros, of which NEURA is contributing about 11 million euros.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/yxxf2aow1adxtrcd9igvrgtbo","name":"RoboHot"},"publishedAt":"2026-10-21T16:00:00.000Z","discoveredAt":"2026-10-22T14:17:12.824Z","originalTitle":null},{"id":"z0ahdnbxerknk8kx4xmbrav4l","links":{"aihot":"https://robohot.news/en/items/z0ahdnbxerknk8kx4xmbrav4l","original":"https://mp.weixin.qq.com/s?__biz=MzkyMTc1NTI3Ng==&mid=2247509839&idx=1&sn=fa47dd5f627dce547e4d2e06f6a96523&chksm=c07b9c70e7f19af82c9c1f2fea638589e380d7dcbefec4e2f3e3ba8dc652ca7243805d030fe8&scene=126&sessionid=1793709903#rd"},"score":78,"title":"GE-Sim 2.0 and π0.5 closed-loop simulation test: Why does reward hacking occur in VLA training?","reason":"The author uses a four-stage test to break down the frame-rate bottlenecks and causes of reward hacking in world-model closed-loop simulation, which can be transferred to the design of VLA evaluation workflows.","source":{"name":"Xbotics具身智能实验室 · 微信公众号"},"summary":"The Xbotics Embodied Intelligence Lab built a closed-loop simulation pipeline using the AgiBot GE-Sim 2.0 world model and the OpenPI π0.5 policy. In testing, the world model generated about 4.33 frames per second, the pure-policy closed loop ran at about 3.20 frames per second, and after adding MiMo online scoring, the rate dropped to about 0.88 frames per second.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/z0ahdnbxerknk8kx4xmbrav4l","name":"RoboHot"},"publishedAt":"2026-11-03T09:47:12.000Z","discoveredAt":"2026-11-03T12:45:08.838Z","originalTitle":null},{"id":"z0v3yrjadbp2zsx87shklmhes","links":{"aihot":"https://robohot.news/en/items/z0v3yrjadbp2zsx87shklmhes","original":"https://www.pi.website/research/human_to_robot"},"score":73,"title":"Physical Intelligence: VLA models show human-to-robot transfer as robot data scale grows","reason":"Experiments show that merely mixing human videos into fine-tuning improves the policy by about 2x on scenarios with purely human demonstrations, and this capability emerges as pretraining robot data scale grows.","source":{"name":"Physical Intelligence"},"summary":"Physical Intelligence research found that in generalization scenarios where only human demonstrations appear, fine-tuning π0.5 with human first-person videos mixed into robot data alone improved policy performance by about 2x, without using any explicit transfer learning mechanism.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/z0v3yrjadbp2zsx87shklmhes","name":"RoboHot"},"publishedAt":"2025-12-15T16:00:00.000Z","discoveredAt":"2026-10-17T05:15:44.271Z","originalTitle":null},{"id":"z6177z3iuuac5r1hezwgrzvgf","links":{"aihot":"https://robohot.news/en/items/z6177z3iuuac5r1hezwgrzvgf","original":"https://mp.weixin.qq.com/s?__biz=MzkzMjY2Mzc5MA==&mid=2247496214&idx=1&sn=8c7e632cb91f6eb37241731cca01e6e5&chksm=c316dc2ee61747e0692aa336f6857ce68664e3b25f14813de434271c2b7aed444e41e322a4be&scene=126&sessionid=1792679531#rd"},"score":78,"title":"Tesla Optimus begins mass production at Fremont line; Musk sets ramp-up target of 20,000 units per week","reason":"The original ties production start, ramp-up period, and external delivery conditions into a single timeline, helping readers understand the gap between prototypes and stable deliveries.","source":{"name":"人形大讲堂 · 微信公众号"},"summary":"Tesla confirmed on its Q3 2026 earnings call that Optimus has rolled off the mass-production line in Fremont; these are the first standard mass-production models, and production started one quarter earlier than planned at the beginning of the year. Musk said the capacity ramp-up will take at least a year, with a final target of 20,000 units per week, corresponding to a production-line hardware design ceiling of one million units per year. The AI capabilities needed for autonomous operation are expected to mature by the end of next year; robots rolling off the line before then will be used internally at Tesla first, with external supply coming later.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/z6177z3iuuac5r1hezwgrzvgf","name":"RoboHot"},"publishedAt":"2026-10-22T07:00:00.000Z","discoveredAt":"2026-10-22T14:35:00.221Z","originalTitle":null},{"id":"z6i82ewi914bpkpr56u0ekdvf","links":{"aihot":"https://robohot.news/en/items/z6i82ewi914bpkpr56u0ekdvf","original":"https://www.intrinsic.ai/blog/posts/introducing-intrinsic-core"},"score":74,"title":"Intrinsic releases open-source Intrinsic Core physical AI platform and OMTS reference solution","reason":"The official announcement describes the open-source platform's core capabilities in control, perception, and planning, as well as its reference solution, which readers can use to assess its reusability in manipulation-oriented industrial automation.","source":{"name":"Intrinsic"},"summary":"Intrinsic has released the open-source Intrinsic Core platform, which includes hardware-agnostic real-time control, 6-DoF pose estimation based on NVIDIA FoundationPose, motion and grasp planning, Gazebo simulation, camera calibration, and Intrinsic-ROS drivers.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/z6i82ewi914bpkpr56u0ekdvf","name":"RoboHot"},"publishedAt":"2026-09-21T16:00:00.000Z","discoveredAt":"2026-10-12T09:50:02.028Z","originalTitle":null},{"id":"zah7eaqz5o6ua1tctjnq8f0d6","links":{"aihot":"https://robohot.news/en/items/zah7eaqz5o6ua1tctjnq8f0d6","original":"https://www.youtube.com/watch?v=szW7N_7B3tU"},"score":64,"title":"Pollen Robotics opens pre-orders for Microduck, a 25 cm reinforcement learning robot","reason":"It packs the full loop from simulation training to real-world deployment into a small, pre-orderable complete robot, letting readers gauge the barrier to building their own reinforcement learning workflow.","source":{"name":"Pollen Robotics · YouTube"},"summary":"Pollen Robotics has opened pre-orders for Microduck at $399 (excluding taxes and shipping), with first deliveries targeted before Christmas 2026. The 25 cm-tall robot is built for reinforcement learning, with 15 degrees of freedom, a front camera, an 8x8 LiDAR, two IMUs and a full sensor suite, and supports designing behaviors in simulation and transferring them to the real robot.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/zah7eaqz5o6ua1tctjnq8f0d6","name":"RoboHot"},"publishedAt":"2026-08-27T15:00:37.000Z","discoveredAt":"2026-10-17T05:08:39.236Z","originalTitle":null},{"id":"zgzrnte1wz15ii3pta6ug2luk","links":{"aihot":"https://robohot.news/en/items/zgzrnte1wz15ii3pta6ug2luk","original":"https://www.163.com/news/article/L0RHC71800019UD6.html"},"score":67,"title":"X Square Robot releases cross-modal embodied action tokenizer X-Tokenizer, with 13.5% gain in multimodal alignment and 8.25% gain in long-horizon tasks","reason":"The original text presents X-Tokenizer's method design and comparative experimental data, letting readers understand the action tokenizer's multimodal alignment approach and its reusable effects.","source":{"name":"X Square Robot/自变量机器人"},"summary":"X Square Robot has released X-Tokenizer, a cross-modal embodied action tokenizer built on a semantic residual quantization (SRQ) architecture and pretrained on 17 robotic arm series and 2.4 million trajectories (including 2 billion action frames). Compared with FAST, it improves multimodal alignment by 13.5% and long-horizon task performance by 8.25%, and scores 82.8 on RoboTwin 2.0; in real-robot tests it outperforms comparison methods such as FAST and 4-level RVQ.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/zgzrnte1wz15ii3pta6ug2luk","name":"RoboHot"},"publishedAt":"2026-07-02T00:00:00.000Z","discoveredAt":"2026-10-12T09:50:35.634Z","originalTitle":null},{"id":"zhqahipdlcstmzwe7m6cebz26","links":{"aihot":"https://robohot.news/en/items/zhqahipdlcstmzwe7m6cebz26","original":"https://www.zerith.com/news/70.html"},"score":62,"title":"Zero Power Robot completes over 100 million yuan funding round led by Runze Group","reason":"The company self-reports its funding details and order scale, and explains its scenario deployment path and data augmentation method, offering insight into its commercial and technological layout.","source":{"name":"Zerith Robotics/零次方"},"summary":"Zero Power Robot announced the completion of a new funding round of over 100 million yuan, led by Runze Group, with Ningbo Dongli, Jieli Angel, and Pinghu Zexin participating. The company said its order count has exceeded 100 million yuan and revenue is in the tens of millions, with stable monthly mass production of 100 units, and validation completed in more than 20 landmark scenarios nationwide; the article also introduced its technological progress including the 4D augmented model ZERITH-SDA and the brain-inspired dual-stream asynchronous execution architecture ZERITH-V2.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/zhqahipdlcstmzwe7m6cebz26","name":"RoboHot"},"publishedAt":"2026-04-08T16:00:00.000Z","discoveredAt":"2026-10-12T11:52:37.105Z","originalTitle":null},{"id":"zilgt6b8xfwb14xmoahe19fka","links":{"aihot":"https://robohot.news/en/items/zilgt6b8xfwb14xmoahe19fka","original":"https://www.psibot.ai/%e7%81%b5%e5%88%9d%e6%99%ba%e8%83%bd%e5%b7%b2%e5%ae%8c%e6%88%90%e8%bf%87%e4%ba%bf%e7%be%8e%e5%85%83%e8%9e%8d%e8%b5%84%ef%bc%8c%e4%ba%a7%e4%b8%9a%e9%be%99%e5%a4%b4%e8%81%9a%e5%8a%9b%e5%8a%a0%e6%8c%81/"},"score":69,"title":"Lingchu Intelligence completes over $100 million new funding round, with industrial capital including Tuopu Group and Chery Ruicheng Fund participating","reason":"Lingchu Intelligence officially announced the completion of the funding and stated that the funds will go toward world model R&D and commercialization in logistics and manufacturing scenarios, giving readers insight into its industry-finance resource layout.","source":{"name":"PsiBot/灵初智能"},"summary":"Lingchu Intelligence announced the completion of a new funding round of over $100 million. Investors include Tuopu Group, Ruicheng Fund under Chery Holding, Lens Technology, 37 Interactive Entertainment, Wuhu Municipal Investment Holding Group, and Fosun Chuangfu, while existing shareholder Zhuhai Technology Industry Group made an excess additional investment. The proceeds will focus on embodied world model R&D and commercial deployment in logistics and advanced manufacturing scenarios. The company's self-developed dual-system architecture comprises the Psi-R2 manipulation policy model and the Psi-W0 action-conditioned world model, and it plans to expand the scale of human data collection and accelerate the layout of data collection facilities.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/zilgt6b8xfwb14xmoahe19fka","name":"RoboHot"},"publishedAt":"2026-08-27T05:41:21.000Z","discoveredAt":"2026-10-12T09:50:36.985Z","originalTitle":null},{"id":"zjjzi99ga7mkcrsp2z3t8mmlq","links":{"aihot":"https://robohot.news/en/items/zjjzi99ga7mkcrsp2z3t8mmlq","original":"https://www.livoxtech.com/news/12"},"score":67,"title":"Livox releases Mid-70 and Avia lidars, covering near-range zero blind spot and 450-meter long-range detection","reason":"The official announcement provides the field of view, blind spot, range parameters, and prices of both lidars, and lists customers who have ordered or integrated them, making it easy to directly evaluate selection and integration costs.","source":{"name":"Livox"},"summary":"On October 26, 2020, Livox released two lidar solutions: the Mid-70 for near-range detection in low-speed autonomous driving and the Avia for long-range detection, priced at $799 and $1,599 respectively, now on sale in DJI's official online store.","category":"robo-products","selected":true,"attribution":{"url":"https://robohot.news/en/items/zjjzi99ga7mkcrsp2z3t8mmlq","name":"RoboHot"},"publishedAt":"2020-10-26T00:00:00.000Z","discoveredAt":"2026-10-17T09:12:34.413Z","originalTitle":null},{"id":"zku8hmau7av9b89b3w8hjzqry","links":{"aihot":"https://robohot.news/en/items/zku8hmau7av9b89b3w8hjzqry","original":"https://www.pi.website/blog/pistar06"},"score":74,"title":"Physical Intelligence releases π*0.6, a VLA model that learns from experience","reason":"The original article explains how compounding errors arise in VLA under imitation learning and presents a training approach that uses expert corrections and autonomous experience for reinforcement learning.","source":{"name":"Physical Intelligence"},"summary":"Physical Intelligence released the VLA model π*0.6. After training with its Recap (RL with Experience & Corrections via Advantage-conditioned Policies) method, throughput on some of the hardest tasks more than doubled, and the failure rate can be reduced to half of the original or lower.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/zku8hmau7av9b89b3w8hjzqry","name":"RoboHot"},"publishedAt":"2025-11-16T16:00:00.000Z","discoveredAt":"2026-10-17T05:15:44.280Z","originalTitle":null},{"id":"zodbtyu6s3hkjzo4c0a63q780","links":{"aihot":"https://robohot.news/en/items/zodbtyu6s3hkjzo4c0a63q780","original":"https://www.tmtpost.com/8188901.html"},"score":82,"title":"The First Public Ledger for Humanoid Robots: An In-Depth Analysis on the Eve of Agility Robotics' Listing","reason":"Using Agility's listing filing data as a sample, it breaks down humanoid robot unit economics and RaaS contract structures, and provides transferable metric definitions.","source":{"name":"钛媒体"},"summary":"Agility Robotics will list on Nasdaq on November 5 via SPAC under the ticker AGLT, with a pre-money valuation of $2.5 billion and confirmed 2025 revenue of only $1.782 million, about 63.5% of which comes from related parties.","category":"industry","selected":true,"attribution":{"url":"https://robohot.news/en/items/zodbtyu6s3hkjzo4c0a63q780","name":"RoboHot"},"publishedAt":"2026-11-01T03:10:00.000Z","discoveredAt":"2026-11-01T03:25:37.239Z","originalTitle":null},{"id":"zqb5b2uid3htn34c5j1ygi37g","links":{"aihot":"https://robohot.news/en/items/zqb5b2uid3htn34c5j1ygi37g","original":"https://mp.weixin.qq.com/s?__biz=MzU1MjY4MTA1MQ==&mid=2247752690&idx=1&sn=570e91724d086c299abfb80549241cca&chksm=faa8e33a9e484879401984320f009cba545b9abfb00d46caccb489abfab251e7ebee2ba3145f&scene=126&sessionid=1793355295#rd"},"score":88,"title":"Infinigence AI, Tsinghua and AgiBot propose Collective Experience Learning (CEL), validated on 96 robots with 98.3% success rate","reason":"Fault-tolerant asynchronous training across a 96-robot real-machine cluster and failure-guided experience retrieval provide a reproducible system and scale-benefit data for Collective Experience Learning.","source":{"name":"3D视觉工坊 · 微信公众号"},"summary":"Infinigence AI, together with Tsinghua University and AgiBot, proposed the Collective Experience Learning (CEL) paradigm and completed prototype validation on 96 robots. In a phone packaging task, policies trained with CEL completed 120 tests on two robots of the same model that did not participate in training, with the success rate rising from 79.2% to 98.3%; when the number of robots participating in learning increased from 16 to 96, the test success rate rose from 86.7% to 98.3%.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/zqb5b2uid3htn34c5j1ygi37g","name":"RoboHot"},"publishedAt":"2026-10-30T10:00:00.000Z","discoveredAt":"2026-10-30T10:15:25.185Z","originalTitle":null},{"id":"zrozjuvv8u6ircukenm85sd3z","links":{"aihot":"https://robohot.news/en/items/zrozjuvv8u6ircukenm85sd3z","original":"https://mp.weixin.qq.com/s?__biz=MzU1MjY4MTA1MQ==&mid=2247752710&idx=1&sn=5766336915505db45f705941f3bac14a&chksm=fa4decdfa1904ee5b98fc1a2fd54c5c78272194014170a55d79314cec424cabc27d0e44b5d95&scene=126&sessionid=1793442626#rd"},"score":78,"title":"HKU open-sources GenSfM: jointly reconstructing 3D objects and camera poses from four uncalibrated images","reason":"The work turns a native 3D diffusion model into the main inference mechanism for joint denoising of shape and camera poses, and releases code and models as a reference for sparse-view reconstruction.","source":{"name":"3D视觉工坊 · 微信公众号"},"summary":"A University of Hong Kong team has open-sourced GenSfM, which uses a native 3D diffusion model to jointly denoise object shape and per-view camera poses within a single multimodal sequence, requiring only 2 to 4 uncalibrated images and no camera intrinsics or extrinsics. Evaluated on Toys4k and GSO, it improves novel-view PSNR by 3.2–4.5 dB over the multi-view baseline TRELLIS-M, reduces median Chamfer distance by about 64%–74%, and achieves pose Acc@5° above 96%.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/zrozjuvv8u6ircukenm85sd3z","name":"RoboHot"},"publishedAt":"2026-10-30T23:00:00.000Z","discoveredAt":"2026-10-31T10:30:27.081Z","originalTitle":null},{"id":"zsmgj00bor0d3k3sx5r9sm1ay","links":{"aihot":"https://robohot.news/en/items/zsmgj00bor0d3k3sx5r9sm1ay","original":"https://www.pi.website/blog/olympics"},"score":64,"title":"Physical Intelligence fine-tunes π 0.6 to take on five Robot Olympics tasks, winning three golds and two silvers","reason":"Using the same set of externally proposed everyday manipulation tasks to compare performance with and without robot pretraining lets readers judge the practical value of foundation-model pretraining for manipulation skills.","source":{"name":"Physical Intelligence"},"summary":"By fine-tuning its latest π 0.6 model, Physical Intelligence achieved preliminary solutions for the gold-medal tasks in 3 of the five everyday manipulation challenges in the Robot Olympics proposed by Benjie Holson, and reached silver-medal level in the remaining 2, with an average success rate of 52% and task progress of 72%.","category":"robo-models","selected":true,"attribution":{"url":"https://robohot.news/en/items/zsmgj00bor0d3k3sx5r9sm1ay","name":"RoboHot"},"publishedAt":"2025-12-21T16:00:00.000Z","discoveredAt":"2026-10-17T05:15:44.263Z","originalTitle":null},{"id":"zv9fhv305k5roerlqaxmodylc","links":{"aihot":"https://robohot.news/en/items/zv9fhv305k5roerlqaxmodylc","original":"https://www.psibot.ai/neurips-2026-%e8%ae%a9%e6%9c%ba%e5%99%a8%e4%ba%ba%e5%8a%a8%e4%bd%9c%e8%bf%9e%e7%bb%ad%e8%80%8c%e7%a8%b3%e5%ae%9a%ef%bc%81fafm%e5%b8%a6%e6%9d%a5%e9%9d%a2%e5%90%91%e5%bc%82%e9%a2%91%e6%95%b0%e6%8d%ae/"},"score":71,"title":"Lingchu Intelligence and collaborators propose FAFM, a continuous action generation method for heterogeneous-frequency data, accepted to NeurIPS 2026","reason":"The paper presents a frequency-domain action representation that adds no learnable parameters and can be integrated into existing VLA models, offering a transferable approach for joint training on heterogeneous-frequency data.","source":{"name":"PsiBot/灵初智能"},"summary":"Lingchu Intelligence, together with Beihang University, Peking University, and The Chinese University of Hong Kong, proposed a frequency-aware flow matching method called FAFM; the paper was accepted to the NeurIPS 2026 main conference. The method uses the discrete cosine transform (DCT-II) to represent actions as frequency-domain coefficients corresponding to real time, performs flow matching in coefficient space and constrains the first-order time derivative, requires no additional learnable parameters, and can be used independently or integrated into VLA models such as π₀ and π₀.₅.","category":"paper","selected":true,"attribution":{"url":"https://robohot.news/en/items/zv9fhv305k5roerlqaxmodylc","name":"RoboHot"},"publishedAt":"2026-11-03T06:35:53.000Z","discoveredAt":"2026-11-03T07:04:10.740Z","originalTitle":null}]}