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#Robot models and learning
Oct 15Thu
  1. OFweek Robotics47

    Dexterous hands move past the DOF race: Boston Dynamics' new Atlas hand has four fingers and 13 degrees of freedom, with the VLA "brain" and cost emerging as bottlenecks

    Boston Dynamics has introduced a four-fingered dexterous hand for Atlas with 13 degrees of freedom in total, nearly double the previous generation's 7; Unitree's Dex5-S, released in September, also has only 22 degrees of freedom, as the industry shifts from a specs race toward pragmatism. Xinor Future says marginal returns diminish beyond 25 degrees of freedom, and existing VLA models can output only about 10 motion control vectors at the same timestamp, so many precise movements still require teleoperation. In the near term, low-DOF options such as three- and four-fingered hands remain mainstream, and products with 7-15 degrees of freedom are seen as the best market fit at this stage.

  2. 36Kr Embodied Intelligence62

    Ruoyu Technology Completes RMB 100 Million Pre-A Funding Round Led by Sunway Communication

    Robotic brain company Ruoyu Technology has completed a RMB 100 million Pre-A funding round led by Sunway Communication, with Jinmu Capital, Qindao Capital, Huanghai Capital, and Zhongchuang Capital participating. Since its founding in 2023, the company has raised several hundred million yuan in cumulative funding. The proceeds will go toward full-stack R&D of its robotic brain, real-world data closed loops, and industrialization. Its first deployment scenario is intelligent refueling (refueling robots), with its core product being the self-developed Ruoyu Jiutian robotic brain, which uses a cloud-edge-device layered architecture and has been in trial operation at a Foshan pilot site since April this year.

  3. Xbotics具身智能实验室 · 微信公众号32

    Xbotics × Motphys Fifth "Reinforcement Learning and Simulation Software" Online Training Camp Registration FAQ

    Registration is open for the Xbotics × Motphys Fifth "Reinforcement Learning and Simulation Software" online training camp. The camp lasts eight weeks and is free of charge, and participants with zero reinforcement learning background may also join. All courses and training are hosted on the Qiaogong cloud, requiring only a browser locally.

  4. OFweek Robotics69

    XPeng IRON set for Europe in 2027; media analyzes its strategy of mass-producing first, then finding scenarios

    Auto Pixel analyzes XPeng IRON's commercialization path: IRON plans to reach mass production by the end of 2026 and begin deliveries in the first half of 2027, entering the European market in the second half of 2027; the Pengxing robotics business has raised over $900 million, with a post-investment valuation exceeding $6.3 billion. The article notes that guided tours are the main initial scenario, and external customers need reasons to pay for redundant configurations such as dexterous hands and 2,250 TOPS of computing power, while store deployment is only the starting point of a data loop; the claim that about 70% of automotive technology reserves can be reused is hard-pressed to cover core barriers such as the brain and dexterous hands.

  6. HuggingFace Daily Papers52

    OneWM unified causal training framework validates mutual gains between world models and action learning

    The paper proposes a unified causal training framework, OneWM, in which actions serve simultaneously as conditions for world prediction and targets for policy learning within a shared video-action architecture. The authors evaluate policy learning and world modeling on LIBERO, LIBERO-Plus, and RoboCasa365, supplemented by real-world policy experiments: learning the visual consequences of specified actions improves policy performance and cross-scene generalization, while action learning under the same architecture improves the fidelity of multi-view world prediction. Positive results were obtained for mutual gains in both directions.

  7. 量子位56

    Tang Duyu, former head of Huawei's Xiaoyi large model, founds Guanxing Shuzhi to bet on proactive physical AI

    Tang Duyu, former chief AI expert at Huawei and former head of the Xiaoyi large model, has founded Guanxing Shuzhi to build proactive AI systems for the physical world, enabling robots to decide on their own whether and how to intervene when there are no human instructions.

  8. 3D视觉工坊 · 微信公众号28

    SLAM's Biggest Challenge Isn't Localization—It's 'Remembering': How Robots Understand a Constantly Changing World

    SLAM's core challenge is shifting from precise localization to long-term "memory": robots need to continuously update their environmental memory and distinguish stable structures from dynamic objects. GaME and Flow4DGS-SLAM from CVPR 2026, and DyGS-SLAM from ICCV 2025, address scene changes from the perspectives of Gaussian representation, optical-flow assistance, and dynamic reconstruction, respectively.

  9. Dexmate72

    Dexmate and CMU Release MeMoREval Benchmark: Robot Storing Camera Frames Beats Text Descriptions

    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.

    Why it matters: 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.

Oct 14Wed
  1. The Humanoid Hub61

    Physical Intelligence opens beta of robot foundation model Pi API

    Physical Intelligence announced the opening of the Pi API beta, allowing developers to upload data, fine-tune the latest robot foundation model on its managed compute, and run inference through a managed gateway. The company has partnered with companies across several industries to adapt the model to their own robots and applications, with use cases ranging from strawberry picking to server assembly; it is now opening access to more teams, and CloudChef demonstrated workflow results.

  3. 它石智航 · 微信公众号55

    Tashi Intelligence's Chen Tongqing on the embodied intelligence path from foundation models to production line deployment

    At the 12th China Robot Summit Forum at the 2026 China International Industry Fair, Chen Tongqing, co-founder and chief architect of Tashi Intelligence, explained the company's embodied intelligence industrialization path from foundation models to large-scale deployment.

  4. 维科网机器人 · 微信公众号65

    Aitu Technology's sewing robot manufacturing base begins production in Taizhou, with planned annual capacity of 10,000 units

    Aitu Technology announced that its sewing robot manufacturing base in Taizhou, Zhejiang, has officially begun production, with planned annual capacity of up to 10,000 units; it is described as the world's first specialized manufacturing plant for sewing robots. Its AI sewing robot carries a self-developed sewing VLA vertical-domain large model and can complete the full process of cut-piece separation, grasping, placement, and alignment; in some scenarios the pass rate reaches the level of 100% of human workers, and efficiency reaches more than 50% of human workers. Aitu's garment manufacturing workstations have already been deployed at leading garment enterprises in China, Vietnam, Thailand, Brazil, and other countries, and a global launch event for the Aini sewing robot will also be held at the end of October.

  5. 甲子光年 · 微信公众号66

    Astribot completes 4th funding round in half a year, valuation reaches 15 billion yuan

    According to Jiazi Guangnian, Astribot has completed a new funding round, its 4th in the past half year. Since March this year, Astribot has successively completed a Series A+, Series A++, Series B, and this round; the Series B funding completed in June totaled over 1 billion yuan, with its valuation exceeding 10 billion yuan for the first time, and three months later the valuation reached 15 billion yuan.

  7. GitHub Embodied AI Topic57

    SyntheticBrains/nematode v0.7.0 released: connectome learning advantage attributed to gap-junction placement and validated in a physical body

    nematode v0.7.0 (Phase 8) is released. Experiments show that the nematode connectome's learning advantage comes mainly from gap-junction placement rather than connection strength, and that this advantage still holds in a 12-segment kinematic body. The worm learns to weathervane toward a thermal set point but does not learn klinokinesis.

  8. Xbotics具身智能实验室 · 微信公众号66

    1.7B-parameter 3D world action model UNITAS open-sourced, surpassing 8B-parameter models on LIBERO and other benchmarks

    CrossDim Intelligence, together with The Chinese University of Hong Kong, Shenzhen, Foshan University, Sun Yat-sen University, and South China University of Technology, proposed and open-sourced UNITAS, a robot task-native 3D world action model. The code and usage instructions are publicly available in the GitHub repository DexForce/UNITAS.

  9. OFweek Robotics61

    Under the robot hardware boom, capital and capabilities shift to internal components

    The article analyzes how financing in the robotics industry is shifting from complete robots to capability layers such as embodied brains, motion control, dexterous hands, and data: in the first half of 2026, financing for core humanoid robot components exceeded 21 billion yuan, up 192% year on year, while financing for complete-robot companies was about 5.6 billion yuan in the same period. It cites financing cases including Moushen Intelligence, Deta Intelligence, and Yaole Technology, as well as deployment data from AgiBot and Figure, and points to three major constraints: insufficient data, shallow scenarios, and unclear technology roadmaps.

  11. Xbotics具身智能实验室 · 微信公众号32

    Xbotics x OpenLoong Robot Motion Control Training Camp Comes to ROSCon China

    Xbotics and the OpenLoong community jointly launched a robot motion control training camp, "Motphys + RSL-RL, from Simulation to Qinglong Nano Real Robot," at ROSCon China 2026, using two days to guide participants through the complete pipeline of policy reproduction, fine-tuning, simulation validation, ONNX export, and real-robot deployment.

  12. OFweek Robotics65

    UCLA RoMeLa Lab unveils PhoneBot bipedal robot, driven by an old smartphone and costing about $400 in materials

    The UCLA RoMeLa lab has published a PhoneBot paper on arXiv: a bipedal robot 483 mm tall, weighing 1.8 kg, with 13 degrees of freedom and about $400 in material costs. A phone mounted on the torso serves as sensor, onboard computer, and interaction interface, handling motion control, image recognition, and voice interaction; speech-to-text and large-model inference still rely on an external laptop, and training uses simulation plus left-right leg mirroring. With a used phone, the total cost is under $500. The team describes it as a lab test device with no arms that does not perform complex tasks such as carrying loads or climbing stairs.

  13. OFweek Robotics73

    Stardust Intelligence completes RMB 1 billion new funding round at RMB 15 billion post-money valuation

    Stardust Intelligence announced on October 13 that it completed a new RMB 1 billion funding round led by Shenzhen Investment Holdings' Tongkong Donghai, reaching a post-money valuation of RMB 15 billion; this is the company's fourth funding round in nearly half a year. The funds will be used for model iteration, talent expansion, commercialization, and production capacity building. The company uses a cable-driven transmission design and has self-developed an end-to-end full-body VLA foundation model, Lumo. It has received orders for several thousand units, its S and T series have ten-thousand-unit-level production capacity, and the T1 brings the price of high-precision manipulation robots to under RMB 90,000.

  14. OFweek Robotics78

    Unitree market value retraces nearly 70%; Wang Xingxing admits at CIIF he did not believe in AI enough

    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.

    Why it matters: 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.

  15. OFweek Robotics53

    KUKA unveils KAI intelligent platform, Visual Components CN, KUKA LBR NEXUS collaborative robot, and automated welding solutions at Shanghai Industrial Fair

    Under the theme "AI, Embodied," KUKA appeared at the 26th Shanghai Industrial Fair in 2026, launching the "KAI" intelligent platform and introducing Visual Components CN, the KUKA LBR NEXUS collaborative robot, embodied products, and new automated welding solutions.

  16. 甲子光年 · 微信公众号60

    Huanwang and Pyromind co-build AITV solution, raising focus recognition accuracy from 45% to 99.6%

    Huanwang Technology and Pyromind have co-built an AITV intelligent solution, performing scenario post-training on Qwen3-VL-4B. Focus recognition accuracy rose from 45% to 99.6%, the success rate of "see it, say it" reached 99%, and the success rate of "search and play" exceeded 90%. It has been deployed in "Xiaoyou Casting - Movie Search" and covers TV apps including Cloud Video Aurora, Kiwi, Mango, Youku, and Bilibili.

  18. 艾利特机器人 · 微信公众号35

    Elite Robots Showcases Yuanqi Primo Embodied AI Model at 2026 China International Industry Fair

    At booth 8.1H F008 of the 2026 China International Industry Fair, Elite Robots uses its self-developed embodied AI model Yuanqi Primo as a unified foundation to coordinate mobile manipulators, wheeled humanoid robots, and collaborative robots working together in simulated production line and unmanned store scenarios.

  19. OFweek Robotics42

    Zhongke Fifth Era Releases Embodied Brain "Epoch Spirit Brain" and Pillar Robot "Jiling-S1", with Live Demo of Three-Machine Collaborative Continuous Operation

    Zhongke Fifth Era unveiled its new-generation embodied brain "Epoch Spirit Brain" and its pillar-type embodied intelligent robot "Jiling-S1" at the Industry Expo. Jiling-S1 has 19 degrees of freedom, covers a three-dimensional workspace through pillar lifting and 360° waist rotation, and supports force control and modular end-effector quick changes; Epoch Spirit Brain relies on the FAM series of embodied large models, uses Action Flow technology to achieve cross-embodiment generality, and combines few-shot learning to adapt to new tasks. On site, three Jiling-L1 wheeled dual-arm robots autonomously collaborated to complete the full process of depalletizing, pouring, receiving, and palletizing, without manual intervention.

  23. Reddit r/robotics39

    Team builds instant-retail automated packing robot with open-source LeRobot SO-101 arm, wins first place at hackathon

    A team built a proof-of-concept prototype for automated packing in a dark store using the open-source LeRobot SO-101 (SO-ARM101) 3D-printed robotic arm, winning first place at a hackathon. Targeting the high labor costs and slow picking of instant retail, the project used the Hugging Face-supported LeRobot ecosystem to complete teleoperation, data collection, and imitation learning within the hackathon timeframe, enabling the arm to reliably perform pick-and-place tasks, and released a 1-minute demo video.

  24. 珞石机器人50

    CIIF Live: Rokae's humanoid force-controlled arm makes its first appearance after 10,000-unit delivery, showcasing industrial embodied intelligence deployment solutions

    Rokae Robotics made its first appearance at the 2026 China International Industry Fair, presenting the results achieved after the delivery of 10,000 humanoid force-controlled arms. The Zhuxing H series wheeled humanoid robot, equipped with the ROKAE-Brain multimodal model and the Xuanhe iNex control system, has already been deployed in real manufacturing scenarios such as the Schaeffler factory for tasks including bin picking; ROKAE-Brain achieves a task success rate of 95%-99% in vertical tasks such as precision assembly. The Taibai AR series force-controlled arm has seven degrees of freedom, a force-control bandwidth exceeding 30Hz, and a force-control resolution of <0.05N.

Oct 13Tue
  2. 银河通用机器人 · X42

    Galbot releases PASSAGE humanoid traversal framework

    The Galbot team proposes the PASSAGE framework, which combines environmental perception, whole-body motion planning, and closed-loop control so that humanoid robots can autonomously plan and execute agile traversal motions based on their surroundings. The framework was trained on 100 hours of human data covering 1,500 scenes and achieves a 98.67% success rate on the Clutter Scene Traversal benchmark.

  3. 古月居 · 微信公众号29

    ROSCon China 2026 OpenLoong Training Camp: Bipedal Robot Reinforcement Learning from Simulation to Qinglong Nano Real Robot

    The ROSCon China 2026 OpenLoong Training Camp, themed "Bipedal Robot Reinforcement Learning Hands-On Practice: Motphys + RSL-RL, from Simulation to the Qinglong Nano Real Robot," will be held on October 17-18, 9:00-17:00, in Meeting Rooms A115 and A124 at Midea's Global Innovation Park in Shanghai.

  4. Xbotics具身智能实验室 · 微信公众号74

    UniWAM open-sources unified world and action model, leading multiple benchmarks with 99.2% on LIBERO and 68.32% on RoboTwin C2R

    The UniWAM team has open-sourced the code and weights of UniWAM, a unified world and action model, achieving success rates of 99.2%, 92.6%, and 68.32% on LIBERO, LIBERO-Plus, and RoboTwin 2.0 C2R, respectively, the highest values among the methods listed in the corresponding tables of the paper.

  5. 深圳市机器人协会 · 微信公众号70

    HKU MMLAB releases PhysicalRSI 1.0, tops RoboDojo and sharply cuts token costs

    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.

    Why it matters: 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.

  6. ZhenFund · 微信公众号63

    Natural Will releases first physical general foundation model Natura-1, 50-billion-parameter MoE drives 20-DoF dexterous hand

    Natural Will has released Natura-1, its first general foundation model for the physical world. It is a 50-billion-parameter mixture-of-experts (MoE) model pretrained on 1 million hours of first-person human experience data. Taking language and vision as input, it can drive a 20-DoF dexterous hand within a 100-millisecond control loop and follow complex natural-language instructions zero-shot.