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Oct 29Thu
  1. 机器人全球资讯 · 微信公众号56

    ETH Zurich biohybrid microrobot sets walking speed record at 0.4 body lengths per second

    ETH Zurich published a blog post on October 22 showcasing a biohybrid microrobot about 1.5 centimeters long, made from mouse skeletal muscle cells and a hydrogel scaffold, that can jump, run, swim, and grasp. The team used an algorithm to simultaneously optimize muscle tissue distribution, volume, and the hydrogel scaffold's shape and mechanical properties, achieving motion amplitudes up to 11 times greater than previous systems with similar muscle mass; the walking version reaches a speed of 6.2 millimeters per second, about 0.4 body lengths per second, which the study says is the highest speed reported to date for a walking biohybrid robot.

  2. 未来机器人网 · 微信公众号78

    Zhiyuan's Peng Zhihui: First-Half Revenue Near 2 Billion Yuan, 9,700 Humanoid Robots Shipped for Over 43% Global Share

    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.

    Why it matters: 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.

  3. 未来机器人网 · 微信公众号35

    Jensen Huang, Musk, and Wang Xingxing Speak in Unison: Physical AI Wave Nears as Humanoid Robots Hit an Industry Turning Point

    Nvidia's Jensen Huang, Tesla's Musk, and Unitree's Wang Xingxing have recently made aligned public judgments: physical AI is on the eve of an explosion, and humanoid robots are its most important deployment vehicle. Huang said that, relying on the Cosmos world model and the Isaac simulation platform, AI factory deployment cycles have been compressed to 14 days; Musk plans for Optimus to be supplied externally by the end of 2027 after resolving issues such as electromechanical reliability, and says early production has already begun at the Fremont factory.

  4. 未来机器人网 · 微信公众号67

    Daxiao Robotics opens ACE-Brain-0.6 API, bringing spatial grounding capability to ACE Hub

    Daxiao Robotics has released the ACE-Brain-0.6 API, opening its spatial grounding capability to external developers through the ACE Hub platform, so they can call it without deploying the model independently. A simultaneous upgrade expanded high-quality spatial grounding training data from about 1.1 million to 1.5 million entries, raised the model's average score on seven public grounding benchmarks to 75.41, and increased inference speed beyond that of GPT-6 Astra.

  6. 甲子光年 · 微信公众号74

    AgiBot Innovation Day proposes Worken metric, unveils AHA3 architecture and Lingqu OS 1.0

    At the October 29, 2026 AgiBot Innovation Day, AgiBot proposed for the first time the Worken (effective intelligent work hours) metric for measuring a robot's effective workload, and released its third-generation hardware architecture AHA3, the heavy-duty embodied robot Genie G2 Max, and the embodied intelligence operating system Lingqu OS 1.0.

  7. 移动机器人产业联盟 · 微信公众号10

    6 Days to Go: 2026 Embodied Picking and Loading/Unloading Robotics Industry Forum

    The 2026 Embodied Picking and Loading/Unloading Robotics Industry Forum is now 6 days away. The forum focuses on robotic applications of embodied intelligence in picking and loading/unloading scenarios; the specific agenda, participating companies, and exhibits have not yet been disclosed in the article.

  8. 移动机器人产业联盟 · 微信公众号60

    Over 20 companies' wheeled humanoid robots enter factories, moving from demos to production-line validation

    According to an incomplete tally by the CMR Industry Alliance and the New Strategy Mobile Robot Industry Research Institute, more than 20 companies' wheeled humanoid robots have entered factories for application deployment, testing and validation, and scenario cooperation. In the first three quarters of 2026, 178 new AGV/AMR products were launched globally, with composite products leading at 91, of which more than 80% are wheeled humanoid robots. The article notes that factory testing, scenario validation, routine deployment, and bulk procurement are different stages; tasks have expanded from handling and sorting to quality inspection, press-fitting, and screw assembly, but a threshold remains between short-term testing and long-term production.

  10. 36Kr Embodied Intelligence78

    AgiBot Releases GO-3 Preview, WITA-OMNI and AGILE, Connecting the Full Physical AI Chain

    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.

    Why it matters: 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.

  11. Reddit r/robotics25

    DIY unmanned surface vehicle BN-USV restructured as V2 after first field test: modular hull and distributed control architecture

    After its first field test, the DIY unmanned surface vehicle BN-USV has entered the V2 design phase, with the focus shifting to a replaceable segmented hull, a CAN distributed control architecture with a main module plus two propulsion modules, and priority on reliable manual control rather than autonomous navigation. In V2, a Raspberry Pi 5 handles high-level processing, while ESP32 controllers handle low-level control and safety, requiring propulsion modules to respond safely and independently when communication fails. V2 is still in development; the above are design goals rather than verified improvements, and the long-term goal is to become a modular platform for marine robotics experimentation and teaching.

  14. 36氪 · 微信公众号36

    AI companies snap up "sky-high" data: Google in talks to buy Spirit Airlines internal records for tens of millions of dollars, $5,000 per math benchmark question

    Google offered $10 million to buy the internal records of bankrupt airline Spirit Airlines, including about 100 million emails and 500 million Microsoft Teams messages, to improve AI models. AI data company micro1 announced it will spend $1 billion over the next 12 months to buy or license operational data from enterprises and build reinforcement learning environments. Mathematicians are paid about $5,000 per question to supply AI with high-difficulty benchmark questions, and about 91% of Mercor's $614 million in first-half revenue came from foundation model companies.

  15. 36氪 · 微信公众号75

    AgiBot releases GO-3 Preview, WITA-OMNI, AGILE, and Lingqu OS 1.0, connecting the full physical AI chain

    At its Innovation Day, AgiBot released the GO-3 Preview embodied foundation model, the WITA-OMNI native multimodal interaction model, the AGILE general motion intelligence algorithm framework, the third-generation hardware architecture AHA3, and Lingqu OS 1.0, covering the three intelligence lines of operation, interaction, and motion.

  16. 36氪 · 微信公众号72

    Embodied AI funding cools: investors tighten, FA firms decline projects, valuation chain loosens

    Several industry figures told HardKr that the turning point for embodied AI funding came in September this year, and NE Times statistics show that funding in the sector fell 40% in September compared with August. Three leading institutions have tightened investment, one FA said the embodied projects it received recently have halved, and some founders are facing fundraising obstacles. The article also reviews the fundraising model of assembly-style startups that drives up valuations, and mentions that Unitree's share price has fallen more than 60% from its peak after listing, and that progress in foundation models such as GPT-6 Astra is eroding the technical moats of embodied-brain companies.

  17. 机器人产业应用 · 微信公众号58

    Muxi and Geely both take stakes in Daxiao Robotics: why a chipmaker and an automaker are betting on embodied AI

    On October 8, a business registration change took place at Shanghai Daxiao Infinite Robotics, adding new shareholders including Muxi Digital Intelligence under Muxi and Geely Chuangxiang No. 20, a Geely Capital-affiliated entity; registered capital increased to 182 million yuan. Daxiao Robotics centers on the Kairos world model, and has already piloted a wheeled-arm lift robot at a Kunlun Haoke convenience store, completing product recognition, picking, transport, and packing. The article's analysis says Muxi values validation of domestic GPU software stack compatibility with world models, while Geely uses the investment to fill gaps in world models and robot manipulation capabilities, but taking a stake does not mean purchase orders or an exclusive partnership have been formed.

  19. 机器之心 · 微信公众号78

    AgiBot releases embodied model GO-3 Preview, enabling full-pipeline scaled learning from pretraining to post-deployment

    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.

    Why it matters: 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.

  20. 机器之心 · 微信公众号82

    X-Era AI opensources 4D world action model E0.5, real-robot success rate surpasses π0.5

    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.

    Why it matters: 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.

  21. 机器之心 · 微信公众号67

    Tianjin University team proposes FAME: an active 3D mapping method using Flow Matching to generate multiple exploration goals, selected for NeurIPS 2026 Spotlight

    A team from Tianjin University and Hefei University of Technology proposes FAME, which uses Conditional Flow Matching to simultaneously generate multiple exploration anchors, then determines routes through A* path planning, path clustering, and hierarchical selection. The paper was accepted to NeurIPS 2026 and selected for Spotlight.

  22. 机器之心 · 微信公众号42

    What kind of data does spatial intelligence need? Interview with Yingjie Technology and CityU Associate Professor Ma Chen

    Ma Chen, associate professor at City University of Hong Kong, has joined Yingjie Technology to lead pre-research on the data direction. The company has completed two consecutive seed funding rounds over the past few months, totaling tens of millions of yuan. Yingjie is building a data pipeline spanning multimodal collection, spatiotemporal alignment, spatial structuring, and dynamic tracking and prediction validation, while advancing spatial intelligence benchmarks and post-training environments, feeding model failure modes back into data collection and training. Ma Chen proposes comparing different supervision methods under the same foundation model and the same budget, focusing on performance in unseen scenarios and task success rates.

  24. 高工咨询 · 微信公众号52

    Elite Robots Showcases 3C Embodied Production Line Solution at NEPCON ASIA 2026

    At NEPCON ASIA 2026, Elite Robots is showcasing solutions including phone gluing and tightening, flexible screw fastening, memory module insertion and removal inspection, visual inspection, and large-model grasping, turning its booth into a miniature electronics production line. The phone gluing and tightening robot uses ±0.02mm repeat positioning accuracy and millisecond-level force control response to keep gluing accuracy within <±0.1mm and a single-station cycle time of <10 seconds; the memory module insertion and removal inspection robot combines ±0.03mm repeat positioning accuracy with flexible force control and is suited to Class 5 cleanrooms.

  25. 高工咨询 · 微信公众号25

    Nabtesco's first-generation precision reducer RV-135 selected for Japan's "Future Technology Heritage"

    The RV-135, the first model in Nabtesco's RV series of precision reducers for industrial robots developed in 1985, has been selected by the National Museum of Nature and Science of Japan as a 2026 "Important Historical Materials for Science and Technology (Future Technology Heritage)" and has completed registration. The model uses a unique structure combining a cycloidal mechanism with a planetary gear mechanism, achieving low vibration, a high reduction ratio, compact size and light weight, high rigidity, and high precision, contributing to improvements in industrial robot performance at the time.

  26. 高工咨询 · 微信公众号42

    Bokente launches hybrid dual-arm collaborative robot HS-PRO and five-axis stereo machining workstation, pivoting to industrial embodied applications

    Bokente has released two new products, the "hybrid dual-arm collaborative robot HS-PRO" and the "five-axis stereo machining workstation," marking its transition from high-speed parallel sorting to industrial embodied applications. HS-PRO uses dual-arm biomimicry plus AI vision coordination to cover the full process of material handling, assembly, fastening, and feeding, with a cycle rate of 130 times per minute; the five-axis workstation supports adaptive alignment for irregular holes and constant-force fastening, adapting to non-planar machining such as inclined surfaces and counterbores. The company says more than 95% of core components are produced in-house, and it has entered automotive brake pad line changeover, new energy battery sorting, and production line assembly processes.

  28. CVer · 微信公众号83

    Harvard, Nvidia and others propose RAX: robot agent online exploration, leading by 37.4 points on average across five benchmarks

    A research team from Harvard, Nvidia, Berkeley, MIT and Stanford proposed 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 skills, while keeping model parameters frozen.

    Why it matters: RAX uses a frozen model plus online exploration to generate reusable programs, offering a robot learning path that does not depend on action demonstrations.

  29. CVer · 微信公众号5

    CVer launches Embodied AI technical exchange group, surpassing 1,600 members

    CVer has launched an Embodied AI WeChat group that has surpassed 1,600 members and added a job-seeking/campus recruitment/internship section. The group pushes cutting-edge embodied AI technology daily, and there are also separate VLA and WAM WeChat groups; joining the Embodied Planet provides access to learning roadmaps, lists of hundreds of companies and university labs, recruitment information, and industry reports.

  30. 新智元 · 微信公众号72

    Geek+ releases Gravity Control causal intervention model to correct robot actions online with natural language

    Under its Gravity embodied intelligence framework, Geek+ has launched the Gravity Control causal intervention model, which can correct local action deviations in robots with a single natural-language prompt, without updating the original policy weights or adding new demonstration data.

  31. 新智元 · 微信公众号58

    Qiyuan Robotics rolls out 5,000 robots, discusses fast-slow brain division of labor and Hil-UMI data paradigm

    Qiyuan Robotics announced it has rolled out 5,000 units and disclosed its Physical AI technology roadmap: a GPT-type large model serves as the S2 slow brain for high-level planning, while its self-developed VLA acts as the S1 fast brain to execute tasks such as folding clothes and tidying desktops. Its newly proposed Hil-UMI collection paradigm achieved data collection efficiency 5.63 times that of conventional real-robot HG-DAgger in a desktop-tidying experiment. The team believes general large models are a public resource, with the moat lying in the robot body, high-quality data, and the training loop, and says consumer household chores need task completion rates above 95% before they meet commercialization conditions.

  32. 新智元 · 微信公众号78

    AgiBot releases GO-3 Preview embodied model, tops three robotics leaderboards and plans full open source by year-end

    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.

    Why it matters: 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.

  34. Reddit r/robotics50

    Reachy Mini "Level UP" update: hoverboard, mobile app, and NFC tags

    Reachy Mini released its "Level UP" update, adding a hoverboard to improve mobility and providing iOS and Android mobile apps so users can interact with the robot without a computer. The update also adds NFC tags, enabling personalization such as hats corresponding to different personalities. In the demo, the hoverboard touched the ground due to an IMU setup error, which the publisher said was an operational issue.

  35. 维科网机器人 · 微信公众号60

    Zhaofeng Co. subsidiary Zhaoju Intelligent wins approximately 300 million yuan robot innovation service platform project

    Zhejiang Zhaofeng Co.'s controlled subsidiary Zhaoju Intelligent has won the bid for the "Robot Innovation Service Platform Project" at a bid price of approximately 300 million yuan. Zhaoju Intelligent is a joint venture established by Zhaofeng Co. and Leju Robotics, engaged in the R&D, manufacturing, and sales of robot ball screws, roller screws, and automotive steering and braking screws. Several of Zhaofeng Co.'s screw products have entered the customer sampling stage, with some models passing performance tests and moving into small-batch trial production, while cross roller bearings for embodied intelligence have achieved batch delivery. In June, the company planned to raise no more than 1.4 billion yuan, of which 1.104 billion yuan will be invested in an industrialization project for high-end precision components for embodied intelligent robots and automotive smart driving.

  36. 维科网机器人 · 微信公众号70

    Jujiao Industry completes hundred-million-yuan Series A to advance mass production of fabric electronic skin

    Jujiao Industry announced the completion of a hundred-million-yuan Series A funding round led by Ant Group, with existing shareholders Lingyi Venture Capital, Weihai Gangrong, and Qingdao Hexin continuing to follow on. The funds will be used for large-scale mass-production delivery of fabric electronic skin, R&D into tactile and multimodal perception, and expansion of application scenarios. The company said that in September 2025 its 1,000th set of humanoid robot fabric electronic skin rolled off the line, that its factory has an automotive-grade capacity of 200,000 units and a production yield of 95%, and that it has more than 400 customers.

  38. 人形大讲堂 · 微信公众号74

    China Releases First Batch of 6 National Standards for Humanoid Robots, Effective April 1, 2027

    The State Administration for Market Regulation has approved and released China's first batch of 6 national standards for humanoid robots, numbered from GB/T 48316 to GB/T 48317.5, covering general provisions, environmental perception, decision planning, motion control, task operation, and simulation testing platforms. They take effect on April 1, 2027.

  39. Reddit r/robotics17

    Pittsburgh hardware founder: water tank inspection robot seeks $750,000 pre-seed—local angels or Bay Area funding?

    A Robotics Row team in Lawrenceville, Pittsburgh, is raising $750,000 in pre-seed funding for a water tank inspection robot. It already has two municipal utility pilots and a working prototype, but local backers are scarce. The founder used the articuler CLI to shortlist about 40 angels with industrial or robotics operations backgrounds; about one-third are in Pittsburgh or Cleveland, and the rest are on the East and West Coasts. The core dilemma: local investors can see the robot in person, while coastal investors write bigger checks but first ask whether the team will move to the Bay Area.

  40. 戴盟机器人72

    Daimon Robotics completes hundreds of millions in strategic financing, led by Ant Group

    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.

    Why it matters: 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.