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Only First party#Data and simulation
Jul 28Tue
  1. 北京智在无界科技有限公司64

    BeingBeyond releases Being-H0.8, the first implicit world action model to introduce touch in pretraining

    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.

    Why it matters: 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.

Jul 27Mon
  1. 拓斯达38

    Topstar and Wuwen Zhike Build Industrial AI Capability Foundation, Completing a Key Piece of the Embodied Intelligence Data Loop

    Topstar and Wuwen Zhike have built a physical AI data loop platform for industrial handling scenarios, covering the full chain from virtual simulation, data annotation, and data organization to model training and real-machine evaluation. The platform uses Scan2Sim and Gen2Sim to generate training scenarios for multiple operating conditions and long-tail edge cases in batches, compressing the on-site commissioning cycle from "months" to "weeks"; real data uses automatic pre-annotation plus manual review, increasing annotation efficiency 10-fold. Topstar says it has connected the full process of data collection, simulation expansion, model training, and real-machine deployment, and that all its embodied intelligence robots can rely on the platform to complete standardized iteration.

Jul 24Fri
  1. 云启资本42

    Yunqi Quarterly Q2 | Midsummer, the future takes on more concrete forms

    Yunqi Capital released its Q2 quarterly report, disclosing progress by its portfolio companies in three areas: financing, products, and deployment: the post-investment valuations of X Square Robot and Zhineng Pingfang Technology both exceed 20 billion yuan, Stardust Intelligence completed a Series B round of over 1 billion yuan, and Nova Fusion has raised a cumulative 1.2 billion yuan.

Jul 22Wed
Jul 15Wed
  1. 正行创新 Striding AI59

    Tsinghua and Striding AI propose self-supervised frame-level advantage modeling algorithm STEAM, achieving a 92.3% success rate on the towel-folding task

    Associate Professor Yu Chao's team at Tsinghua University, together with Striding AI, jointly proposed the self-supervised frame-level advantage modeling algorithm STEAM, which learns frame-level progress signals from the temporal order of expert demonstrations and scores expert data, robot rollouts, and human correction data frame by frame.

  2. LimX Dynamics61

    LimX Dynamics releases humanoid VLA model V³-0 alongside COSA 0.5

    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.

    Why it matters: 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.

Jul 14Tue
  1. PsiBot/灵初智能81

    Lingchu Intelligence and PKU-Lingchu Joint Lab Release and Open-Source Dual Dexterous Hand General Manipulation Model and Full-Stack System EgoSteer

    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.

    Why it matters: 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.

Jul 9Thu
  1. 蚂蚁灵波科技 · YouTube70

    Ant Lingbo Open-Sources Embodied Video Foundation Model LingBot-Video, Scoring 0.620 on RBench

    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.

    Why it matters: 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.

Jun 30Tue
Jun 25Thu
Jun 24Wed
  1. Robot.com Holdings Inc.68

    Robot.com releases R-KNav 10,000-hour sidewalk navigation dataset and launches FoMo Challenge

    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.

    Why it matters: 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.

Jun 16Tue
  1. Deep Robotics/云深处科技57

    Deep Robotics Lynx M20 Wheeled-Legged Robot Deployed for Inspection in Chengdu Underground Utility Tunnel

    Deep Robotics' wheeled-legged robot Lynx M20, equipped with a smart utility tunnel solution, has been deployed for inspection in nearly 26 kilometers of underground utility tunnels at Chengdu Future Science and Technology City. The robot combines wheeled and legged locomotion, can pass through passages as narrow as 50 centimeters, and supports autonomous charging and automatic return for 7×24-hour inspection. It integrates infrared temperature measurement, gas detection, high-definition cameras, acoustic collection, and other sensor modules, and works with Junyi Digital to carry a digital twin operations and maintenance system, enabling three-tier red, orange, and yellow alerts and a closed digital inspection loop.

Jun 9Tue
  1. Holiday Robotics60

    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

    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.

    Why it matters: 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.

Jun 6Sat
  1. 富唯智能31

    Fuwei Intelligence: AI large models plus digital twins empower industrial humanoid robot deployment

    The Fuwei Intelligence Fuzhi 1 and Fuzhi 2 are mass-produced industrial humanoid robots, each with a dual-arm rated payload of 8 kg. Fuzhi 1 is equipped with FW75 precision robotic arms and dual RGB-D depth cameras, with accuracy of ±0.02 mm, and focuses on fine assembly; Fuzhi 2 has FW65 heavy-duty robotic arms, three industrial cameras, and a 2.2-meter lifting column, and focuses on heavy-load transfer. Both robots share Fuwei's self-developed AI large model and digital twin simulation platform, and are suited to industrial scenarios including automotive, electronics, logistics, healthcare, new energy, and CNC machining.

Jun 5Fri
  1. PKU EPIC Lab61

    PKU EPIC Lab proposes LIMMT, a data-centric study for humanoid motion tracking, accepted to ICML 2026

    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.

    Why it matters: 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.

Jun 4Thu
Jun 1Mon
  1. Agile Robots/思灵机器人28

    Agile Robots gains early access to NVIDIA Cosmos 3 for physical AI simulation

    Agile Robots has obtained early access to NVIDIA Cosmos 3, with early simulation tests showing strong capabilities. The company will integrate Cosmos 3 for customers, offering new options for simulating, testing, training, and deploying physical AI, and is exploring the Cosmos-based NVIDIA Video Augmentation Skill for automated data curation, generation, and evaluation.

May 28Thu
  1. Genesis AI · YouTube72

    Genesis AI open-sources simulation platform Genesis World 1.0

    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.

    Why it matters: 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.

May 27Wed
  1. 普华资本56

    OriginFlow Raises Over RMB 500 Million Across Multiple Rounds, Puhua Capital Invests in Two Consecutive Rounds

    Embodied intelligence company OriginFlow announced it has completed multiple financing rounds—an angel round, a strategic round, and a Pre-A1 round—with cumulative funding exceeding RMB 500 million. Puhua Capital participated in two consecutive rounds, and other investors include BlueRun Ventures, Oasis Capital, Monolith Management, and Yuanhe PuHua.

May 13Wed
  1. Noble Machines51

    Noble Machines Breaks Down Its Industrial Autonomous Learning Stack: Whole-Body Control, Task-Level Learning, and Runtime Error Correction

    Noble Machines published an article introducing its three-layer robot learning stack for industrial autonomy, along with on-site test results from GTC 2026: over four days, the same model simultaneously drove multiple Moby robots to complete two autonomous tasks at the NVIDIA booth and its own booth.

May 12Tue
  1. 普罗宇宙45

    Pro Universe Industrial Product Matrix 2.0 released, building a trillion-level new industrial ecosystem with an all-domain symbiosis strategy

    Pro Universe Robot released its high-precision fusion data collection solution AcCI and the Dabai robot intelligent loading and unloading module at its Global Partner Conference on May 12, 2026, and introduced an all-domain symbiosis ecosystem strategy. AcCI offers sub-millimeter precision, all-modality collection, and an end-to-end closed loop, and supports both master-slave and UMI dual collection modes; the Dabai robot has completed POC validation across multiple industries and has operated stably for over a year on production lines including the Dreame smart factory.

Apr 30Thu
  1. LimX Dynamics67

    LimX Dynamics Open-Sources FluxVLA Engine, a Standardized VLA Engineering Foundation

    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.

    Why it matters: 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.

Apr 28Tue
  1. 德马科技43

    Dema Technology releases OmniEgo, a full pipeline for embodied intelligence data collection

    Dema Technology, together with Maiqing Intelligence, released OmniEgo, a first-person full pipeline for embodied intelligence data collection. The companies claim that a single person can stably collect data for more than 8 hours per day on average, that a team of 1,000 people can produce more than 200,000 hours of valid data per month, that collection efficiency is improved by more than 10 times, and that overall costs are reduced by 80%. The pipeline covers collection, cleaning, self-labeling, and quality inspection. It relies on the self-developed OmniEngine to achieve millimeter-level hand pose perception, with self-labeling coverage exceeding 85% and overall processing efficiency improved by 90%. Dema Technology is also opening this collection capability globally and announced a three-year goal of producing 10 million hours of high-quality embodied data per year.

Apr 22Wed
  1. PsiBot/灵初智能75

    Lingchu Intelligence releases Psi-R2 and Psi-W0, open-sources 1,000-hour full-modality human hand manipulation dataset

    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.

    Why it matters: 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.

Apr 20Mon
  1. PsiBot/灵初智能57

    Lingchu Intelligence Secures Investment from Guotou Xiandao and Jingxi Ruiling, Bolstering Embodied AI R&D and Commercialization

    Lingchu Intelligence announced the completion of a new funding round, with Guotou Xiandao and Jingxi Ruiling as investors; the funds will be used for core technology R&D and commercialization. On April 10, the company released its next-generation embodied AI models Psi-R2 and Psi-W0 and open-sourced a 1,000-hour full-modality human manipulation dataset, stating that Psi-R2 ranked No. 1 globally on the Molmospace benchmark; it will next advance the large-scale application of its dexterous manipulation solutions in logistics, industrial, and new retail scenarios.

  2. PsiBot/灵初智能46

    Lingchu Intelligence releases self-developed complete robot ψ-SynRobot and starts mass production

    Lingchu Intelligence has officially released its self-developed complete robot ψ-SynRobot and simultaneously started large-scale mass production. The model targets logistics, retail, and industrial scenarios and uses an integrated "operation execution + data collection" architecture; each completed task simultaneously accumulates visual, tactile, and motion-trajectory data. It can run continuously 24/7 and suits scenarios such as warehouse sorting, retail guidance, and industrial assembly. The release gives Lingchu Intelligence a complete product matrix from an "embodied intelligence brain" to a complete-machine execution platform, covering forms such as wheeled robots and exoskeleton gloves.

Apr 13Mon
  1. 线性资本51

    UNICUS completes new round of several million USD led by Linear Capital

    Personalized manufacturing brand UNICUS (formerly Fangzai Photo Studio, Shenzhen Qianzhi Technology Co., Ltd.) announced the completion of a new round of financing of several million USD, led by Linear Capital, with JiuKun Venture Capital and Skyline Capital participating, along with personal participation from the founding team and founders of leading companies in the Maker sector; the funds will be used for building-block generation large model training, AI Agent development, and overseas market expansion.

  2. 德马科技34

    Damon Technology and UBTech Sign Strategic Agreement to Jointly Map Out Embodied Logistics Commercial Blueprint

    Damon Technology and UBTech signed a strategic cooperation agreement in Shanghai to jointly develop humanoid robots for scenarios including warehouse sorting, material handling, and production line collaboration, and plan to establish a joint venture. UBTech's Walker S2 industrial humanoid robot began mass production in 2025 and completed its first batch of large-scale deliveries; its full-size embodied intelligent humanoid robot business recorded 820 million yuan in sales revenue and 1,079 units sold for the full year 2025. The cooperation also covers core component development and embodied data collection coordination.

Apr 11Sat
  1. 线性资本57

    Simple AI completes third funding round in six months, raising hundreds of millions of yuan, led by Linear Capital and Puhua Capital

    General-purpose embodied intelligent robotics company Simple AI announced the completion of its third funding round within six months, raising hundreds of millions of yuan, led by Linear Capital and Puhua Capital, with existing shareholders Junshan Capital, Shunwei Capital, and BV Baidu Ventures continuing to increase their investment; the funds will be focused on R&D of embodied robot brains and bodies.

Apr 10Fri
  1. PsiBot/灵初智能74

    Lingchu Intelligence Releases Psi-R2 and Psi-W0 Dual Models, Pretrained on 100,000 Hours of Human Data

    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.

    Why it matters: 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.

Apr 2Thu
  1. Sanctuary AI55

    Sanctuary AI demonstrates zero-shot in-hand manipulation with hydraulic dexterous hand

    Sanctuary AI demonstrated zero-shot in-hand manipulation in the real world with its proprietary hydraulic hand: a policy trained entirely in simulation continuously reoriented a lettered cube to a target pose ten times in a row without dropping it. The operation relied solely on the fingertips with no palm support, requiring simultaneous stable grasping and approach to the pose target. The original text states that the hand has a relatively high number of active degrees of freedom enabling finger abduction, and that hydraulic actuation and compact hydraulic valves offer a path toward industrial-grade humanoid dexterous manipulation.

Mar 26Thu
  1. RealMan/睿尔曼33

    RealMan "Tea Art Robot" Appears at 2026 Zhongguancun Forum

    RealMan, together with Pinpinxiang, presented a "robot tea master" tea-brewing service at the 2026 Zhongguancun Forum. An operator remotely teleoperated it from the Beijing Humanoid Robot Data Training Center, and a RealBOT wheeled humanoid robot replicated in real time on site the Fuding white tea steps of warming the cup, adding tea leaves, pouring water, and decanting the brew. The service relies on RealMan's Global Labor Network (GLN) to turn human expert operating skills into services that can be scheduled across time and space; it is a remote teleoperation demonstration, not autonomous tea brewing by the robot.

Mar 24Tue
  1. Berkeley AUTOLAB68

    CaP-X: Benchmarking and Improvement Framework for Robot Manipulation Coding Agents Released

    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.

    Why it matters: 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.

Mar 20Fri
  2. Dexterity60

    Dexterity details evaluation methods and production metrics for the Foresight packing agent

    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.

    Why it matters: 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.

Mar 18Wed
Mar 17Tue
  1. Noble Machines39

    Noble Machines and Schaeffler partner to improve the realism of general-purpose robot actuator simulation with Newton

    Noble Machines and Schaeffler have partnered to bring high-fidelity digital twins of high-performance actuators into the open-source physics engine Newton, for developing whole-body control policies before hardware deployment. The models can capture manufacturing variations and predict aging and energy consumption, with energy consumption predictions up to 10 times higher than idealized models, and feedforward compensation can reduce tracking error by up to 68%. Robots can also use control signals as identification signals to enable online self-diagnosis and compensate in real time for wear or environmental drift.

Mar 16Mon
Mar 12Thu
  1. Sunday Robotics69

    Sunday Robotics closes $165 million Series B to advance real-world deployment of home robot Memo

    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.

    Why it matters: 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.