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Only Opinion#Grasping and manipulation
Nov 5Thu
  1. 爱范儿34

    Interview with Stardust Intelligence's Lai Jie: the rope-driven robot, AOS operating system, and Lumo-2 embodied model's "iPhone 4 moment" has not yet arrived

    In an interview, Lai Jie, founder and CEO of Stardust Intelligence, said the company's architecture combines a rope-driven robot body, the embodied operating system AOS, and an embodied model. AOS packages perception, movement, manipulation, and interaction into skill modules, can adapt to large models and Agents such as GPT 6, and lets developers build applications using natural language. Its Lumo-2 embodied model has implicit world dynamics prediction capability and, combined with reinforcement learning, builds a trial-and-error and error-correction loop. Lai Jie believes the robotics industry's "iPhone 4 moment" has not yet arrived, but may be closer than imagined.

Oct 30Fri
  1. Leiphone Robotics34

    Boyya Intelligence's Liu Xin: After GPT-6, hardware will become the bottleneck for robots

    Boyya Intelligence founder Liu Xin believes models may reach a capability inflection point earlier than hardware, at which point robots' bodies rather than their brains will limit their operation. Boyya's first dexterous hand, Gaoshan S1, has 22 degrees of freedom and uses a hybrid drive that is primarily tendon-driven, supplemented by direct gear drive and screw-rod linkages; the company says it is the world's first to use a tendon-driven plus screw-rod parallel wrist configuration. The team is also developing a "cerebellum" model with more than 30 built-in standard actions, which an upper-level model calls and adjusts execution details through real-time feedback.

Oct 21Wed
  1. LeadeRobot67

    Is the dexterous hand industry collectively cutting back?

    The article analyzes why the dexterous hand industry is collectively reducing degrees of freedom: manufacturers are now talking about lifespan, cycle time, and unit price rather than making hands more human-like. A new hand from a leading US robotics company has only four fingers and 13 degrees of freedom, while two new domestic products have 22 and 20 degrees of freedom, compared with benchmark products from just over a year ago at 38, 37, and 42.

Oct 16Fri
  1. 机器之心 · 微信公众号69

    From Hardware and Data to Models: How Sharpa Systematically Advances Dexterous Manipulation

    In a conversation with Synced, Sharpa's academic lead Zhang Kaifeng outlined three main threads for advancing dexterous manipulation: human-centered data collection, high-frequency tactile low-level control that decouples motion from interaction, and tactile-anchored cross-embodiment representation 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.

Oct 13Tue
Oct 12Mon
  2. OFweek Robotics66

    SenseTime, Galbot and other robots enter retail; dozens of companies deploy in scenic areas and convenience store scenarios during National Day holiday

    The article analyzes the commercialization progress of robot retail: this National Day, more than 30 embodied intelligence companies entered cultural tourism and retail scenarios; Galbot's space capsules cover about 50 cities and about 200 locations; Crossdim Intelligence's more than 30 small stations received over 110,000 visits during the holiday; SenseTime Shanhui's Shaomaigou stores require only 0.2 to 0.3 staff per store. It also points out real challenges such as Hongqi Chain halting its robot vending project, grasping failure rates, and the lack of after-sales systems, and cites data projecting the global retail robot market to grow from $6.84 billion in 2025 to $23.07 billion in 2034.

  3. Robohub54

    Humanoid robots can run and box, but folding clothes is the real test

    Wai-keung Fung of Cardiff Metropolitan University writes that at the World Humanoid Robot Games 2026, Tiangong Ultra completed the 100 meters in 8.64 seconds, faster than Usain Bolt's 9.58-second world record, but soft manipulation tasks such as folding clothes and doing laundry are a better test of robot intelligence. The article notes that fabric shapes vary widely and skills are hard to transfer directly between robots with different configurations and sensors, and that Open X-Embodiment is exploring this problem by gathering over a million real trajectories from 22 kinds of robots.

Oct 10Sat
  1. Reddit r/humanoidrobotics17

    Why is the "robot dexterous hand" problem so hard? Is the shift from digital to analog AI a necessary condition for achieving true dexterity?

    This is a community discussion post asking why even the most advanced humanoid robots, which are still controlled by large-scale digital neural networks, make mistakes such as dropping cups or crushing eggs due to latency, and questioning whether digital computing power has fundamental limitations for dexterous hands. The poster points out that biological reflex circuits are analog and asynchronous, and asks how many companies are developing mixed-signal or neuromorphic hardware for robotic hands rather than simply scaling up software.

  2. The Robot Report53

    TDK Ventures founder: dexterity is the real bottleneck for embodied intelligence

    TDK Ventures founder Nicolas Sauvage argues in an article that the key to robotic dexterity is not completing a single action, but the reliability of an entire workflow. He gives the example that when the single-step success rate is 99%, the probability of completing all 100 actions is only 36.6%, and only when it rises to 99.99% does it reach 99.0%.

Sep 30Wed
  1. Leiphone Robotics64

    Yuansheng Intelligence's Yang Sicheng: Before Embodied Model Capabilities Break Through, Dexterous Hands Must First Compete on Performance

    In an interview, Yuansheng Intelligence founder Yang Sicheng proposed that when model capabilities are not strong enough, hardware capabilities must be very strong, and only after models break through can dexterous hands simplify. Its self-developed Apex Hand uses an in-palm hybrid tendon-driven scheme, has 21 degrees of freedom, a maximum single-hand active payload of 30 kg, and an open-close time of about 0.2 seconds, and was carried by the gold, silver, and bronze medal teams in the heavyweight categories of weightlifting and tug-of-war at the 2nd World Humanoid Robot Games in August 2026. He emphasized prioritizing reliability and dexterity, using unidirectional tendon drive plus end encoders to compensate for creep, and believes the endgame for dexterous hands is a reliable general-purpose productivity tool.

Sep 19Sat
Sep 15Tue
  1. Leiphone Robotics53

    Xspark AI's Ding Wenbo on tactile intelligence: Robots need their own "spinal cord"

    In an interview, Xspark AI co-founder and chief scientist Ding Wenbo proposed that vision has already solved about 99% of robot perception problems, and that touch should form a low-latency, body-adjacent "spinal cord"-level model rather than being directly integrated into vision large models. He proposed a three-layer architecture of "slow brain VLM—fast brain VTLA+TWAM—spinal cord VTA," arguing that touch mainly serves collision-avoidance safety and post-training for dexterous manipulation, and noted that current bottlenecks lie in sensor consistency, tactile data representation, and unification across sensors, modalities, and embodiments.

Aug 20Thu
  1. MassRobotics45

    ATDev updates progress on autonomous wheelchair development

    ATDev has updated progress on its autonomous wheelchair development, building a modern power wheelchair equipped with a collaborative robotic arm under the ARPA-H-funded RAMMP project. The wheelchair uses a shared autonomy model in which the user decides the path and the system handles fine adjustments, with plans to add teleoperation and federated learning features. ATDev is working with Meta to apply AI models to the wheelchair, with both parties betting on open source.

May 11Mon
  1. LeadeRobot38

    Wang Letian, VP of Product at Robot Era: From "Dexterity" to "Intelligence," the "Hand-Brain" Co-Evolution Logic Behind XHand

    Wang Letian, VP of Product at Robot Era, explains the "software-defined hardware" design logic of its XHand dexterous hand: the fully direct-drive architecture serves reinforcement learning, imitation learning, and mass-production consistency; backdrivability supports teleoperation data collection and Sim2Real transfer; and it has been used as a foundational platform in more than 20 top-conference papers worldwide. The hand has cumulative sales of over 1,000 units and weighs 880 grams; last year it reached annual production on the scale of a thousand units, a single logistics order reached 50 million, and it secured its latest funding round led by SF Express.

Dec 23Tue
  1. Sunday Robotics · X18

    Memo acquires grasping intuition through datasets

    Traditional robots are like player pianos—they can only play the notes they are given. Memo is more like a top chef who has watched hundreds of chefs in various kitchens. Our diverse dataset gives Memo the "intuition" to grasp entirely new objects. This is a small step toward robots that can truly help in any home 🤖👨‍🍳

Nov 4Tue
  1. Holiday Robotics50

    Holiday Robotics' industrial humanoid robot Friday uses self-made tactile sensors costing about 30,000 won, with mass production next year

    Holiday Robotics has unveiled Friday, an industrial humanoid robot whose hands use a 500-gram, 20-DOF hydraulic ultralight design, with about 80% of their surface covered by self-made tactile sensors that can sense a force of 0.01N (about 1g), as well as direction and torque.

Apr 9Fri
  1. OFweek Robotics27

    Rubotics' Qiu Qiang: Using an "intelligent hand-eye unit" combining motion planning and machine vision to address the intelligence and cost pain points of industrial robots

    Qiu Qiang, CTO of Shenzhen Rubotics, said the company uses machine vision and robot motion planning technology to build an intelligent hand-eye unit, targeting the two major pain points of industrial robots: insufficient intelligence and high application costs. Its bathroom polishing unit can use 3D vision to detect the shape of a washbasin and automatically plan the working trajectory, shortening debugging time; the intelligent hand-eye unit can free 1 to 2 workers from hazardous environments. On February 1 this year, Rubotics signed a cooperation agreement with Japan's RBB company, beginning its "going global" push.