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#Grasping and manipulation
Oct 29Thu
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  7. 戴盟机器人55

    Daimon Robotics presents Daimon-TWM tactile-anchored world model and full-chain physical intelligence system at IROS 2026

    At IROS 2026, held September 27 to October 1 in Pittsburgh, USA, Daimon Robotics presented its full-chain physical intelligence system spanning perception, data, and models under the theme From Touch to Intelligence, centered on the Daimon-TWM tactile-anchored world model.

  8. 拓斯达58

    Topstar's humanoid dual-arm robot enters 3C irregular-part sorting, cutting changeover time to minutes

    Topstar has launched a humanoid dual-arm robot solution for sorting irregular parts. Operators issue commands in natural language, and TOP Agent parses the tasks and coordinates visual perception, motion control, and force-controlled gripping, cutting changeover time from hours to minutes. On the hardware side, the humanoid dual arms have a rated payload of 8 kg and repeat positioning accuracy of ±0.05 mm, are equipped with a binocular vision system and a force-controlled adaptive gripping module, and support 24/7 continuous operation. The solution has completed deployment validation in the supply chain of a leading 3C brand and can optionally be equipped with edge computing and industrial large models to extend to processes such as appearance inspection.

  9. 深圳市机器人协会 · 微信公众号30

    LaborX: Industrial embodied intelligence company incubated by LK Group launches wheeled humanoid robot and force-controlled dexterous hand

    Shenzhen LaborX Technology Co., Ltd. (LaborX) is a full-stack industrial embodied intelligence company wholly incubated by LK Group, building a three-part in-house system of the LaborX OS industrial system, a wheeled mobile manipulator robot, and a high-precision force-controlled dexterous hand.

  10. 星海图 · 微信公众号22

    Galaxea Showcases Embodied Intelligence Applications at 2026 World IoT Expo (Wuxi)

    At the 2026 World IoT Expo (Wuxi), Galaxea is presenting three major embodied applications: a healthcare scenario deployment in partnership with Kunshu Xingqi, a robot front warehouse with on-site ordering and multi-robot collaborative autonomous picking and packing, and floor exercise champion Kengo taking on high-difficulty moves. The expo runs from October 30 to November 1 at Wuxi Taihu International Expo Center, Hall A3-03.

  11. 锐曼REEMAN22

    REEMAN to Launch Commercial Autonomous Tennis Ball-Collecting Robot for Professional Tennis Facilities

    REEMAN Robotics is developing a commercial autonomous tennis ball-collecting robot for professional tennis academies, multi-court clubs, and commercial tennis facilities, with the goal of reducing repetitive ball-collecting work and allowing coaching teams to focus on training. The product is in the development and technical evaluation stage. Development priorities include a ball-storage target of about 200–300 balls, autonomous navigation, tennis ball detection and collection, automatic charging, and court surface compatibility; these are engineering goals rather than verified mass-production specifications. REEMAN has not yet announced a confirmed launch date, final price, mass-production specifications, or sales channels.

  12. Reddit r/robotics22

    Xynova compares 20 dexterous hands in KaRMA simulation; Prima 1 ranks 2nd in translation and 1st in reorientation

    The Xynova team used the KaRMA simulation to compare 20 dexterous hand models; under the test conditions, its Prima 1 ranked 2nd in the translation category and 1st in the reorientation category. The team says a gap remains between simulation and real-world operation and is seeking more practical dexterity metrics. Xynova will attend CoRL in Austin and Web Summit in Lisbon with dexterous hand demonstrations and has spare tickets for people willing to produce technical content for its dexterous hands.

  13. 锐曼REEMAN30

    How Does REEMAN Use the Big Dog Chassis Mobile Platform to Automate Warehouse Shelf Picking?

    REEMAN ROBOT partnered with a German industrial technology customer to develop a mobile manipulator robot for warehouse shelf picking and material handling. The solution uses the Big Dog Chassis AMR platform with a rated payload of 100 kg, paired with a 7-DOF robotic arm with a rated payload of 5 kg and a working reach of 610 mm, as well as a vertical lifting mechanism with a stroke of 1,200 mm.

  14. 锐曼REEMAN25

    Why Are Wheeled Robot Bases Better Suited for Mobile Manipulators? — The REEMAN Big Dog Base as an Example

    The REEMAN Big Dog wheeled AMR base is designed for mobile manipulator integration, with a rated payload of 100 kg, laser SLAM navigation, LiDAR and dual 3D cameras, and HTTP API, Android SDK, RS232, and local MQTT interfaces. Two cases show a customer integrating dual arms on the Big Dog base for a tote-handling demo, and a German industrial customer combining the base with a 7-DOF robotic arm and a 1,200 mm vertical lift mechanism for warehouse shelf picking.

  15. Guyuehome51

    Robomimic Recurrent Behavior Cloning Policy: Likelihood Modeling, LSTM Deployment, and OSC Control Reproduction

    This content describes reproducing the lift and can manipulation tasks in MuJoCo using the official recurrent behavior cloning weights from the robomimic model zoo. It reconstructs the mathematical details of BC likelihood modeling, LSTM deployment semantics, and OSC impedance control.

  16. 锐曼REEMAN29

    How Does a Wheeled Robot Chassis Support Dual-Arm Mobile Manipulation? REEMAN Big Dog Customer Integration Case

    A customer integrated a dual-arm mobile manipulator on the REEMAN Big Dog wheeled AMR chassis; in an 82-second demo, it completed dual-arm grasping of a blue material box, transport between workstations, and placement. The chassis has a rated payload of 100 kg, uses laser SLAM navigation, is equipped with LiDAR and dual 3D cameras for obstacle avoidance, and offers development interfaces including an HTTP API, Android SDK, RS232, and local MQTT. The video is a customer integration demo, not evidence of a production deployment or verified throughput performance.

  17. 锐曼REEMAN42

    How REEMAN Rhino autonomous stacker forklifts automate pallet transport at a Shanxi packaging plant

    REEMAN Rhino autonomous stacker forklifts are deployed at a food-service packaging plant in Shanxi, automatically completing pallet transport from the pickup area to the warehouse over a one-way distance of about 280 meters and a round trip of 560 meters, with a payload of about 800 kilograms per trip and roughly 64 tons of cargo moved per day based on an estimated 80 trips per day. The vehicle has a rated load of 1.5 tons and a lift height of 2.5 meters, uses laser SLAM navigation, is priced at about 11,000 USD for reference, supports automatic docking and charging at low battery, and its charging station can be relocated. On-site deployment took about 1 day, and the LiDAR mounting position was raised by 1 meter for future rack-storage planning.

  18. Guyuehome0

    From Jev's structured judgment to UniIntervene: How robot reinforcement learning decides to "continue or take over"

    A team at Nanyang Technological University proposed UniIntervene, a human-in-the-loop reinforcement learning method for real robots, aiming to reduce reliance on manual takeover during robot training. The paper validated the method on grasping, insertion, wiping, and folding tasks with a UR7e robotic arm.

  19. New Strategy Robotics38

    Pangqi's RaaS model brings embodied AI robots into factories: zero equipment investment, 300% improvement in per-square-meter efficiency

    Pangqi Technology is using a RaaS (Robotics as a Service) leasing and operating model to bring embodied AI robots into factories. Customers pay based on actual work volume and avoid large one-time investments; projects already in operation can achieve a 30%–300% improvement in per-square-meter efficiency and rapid deployment in 1–3 months.

  20. HuggingFace Daily Papers79

    CaPtain: A Post-Training Pipeline for Code-as-Policy Robot Agents

    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.

    Why it matters: 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.

  21. HuggingFace Daily Papers62

    HiFOR: A Hierarchical Foresight Framework with Action-Guided World Retrieval for Vision-Language-Action Models

    HiFOR proposes a hierarchical foresight framework with action-guided world retrieval for vision-language-action (VLA) models. Its hierarchical foresight jointly predicts short-term state evolution, semantic milestones, and the final goal state through a Hierarchical Dependency Mask (HDM), while structure-aware latent world modeling organizes future representations along the temporal, view, and spatial dimensions, and action-guided factorized world retrieval retrieves relevant future information by action representation during denoising. The authors report that the method's effectiveness was validated on two simulation benchmarks and six real-world robotic manipulation tasks.

Oct 28Wed
  1. 机器人全球资讯 · 微信公众号58

    CASIVIBOT Industrial Embodied Inspection Robot Debuts Two New Models at CIIF

    CASIVIBOT, the industrial embodied inspection robot from CASIVIBOT, showcased its Z1-Lite motor stator model and Z1-SE hard material model at the 26th China International Industry Fair. The Z1-Lite targets mass-production inspection of micro motors, completing loading and unloading, defect detection, and automatic sorting in one station, with 5-micron inspection precision and 5 seconds per part; the Z1-SE relies on a self-developed few-shot visual inspection engine to identify chipping, scratches, dents, and dirt, with 7-micron inspection precision and 20 to 35 seconds per part.

  2. 高工咨询 · 微信公众号42

    No longer competing on specs, but on delivery: the competitive logic for robot core components has changed

    At this year's CIIF, the competitive focus of robot core component companies shifted from single-point specifications to stable delivery: Kunwei Technology, Xinjingcheng Sensors, Junduo and others expanded from force-tactile sensing to full-spectrum coverage; dexterous hand makers such as Zhongke Guiji, Dahuan and Yinshi emphasized industrial-grade lifespan and continuous operation capability; Huiling Technology's eHand-6 is priced at 2,999 yuan and the eHand-20 at 9,999 yuan. GGII forecasts that domestic dexterous hand sales will reach 70,200 units in 2026, up 265.63% year on year, but most customers are still in the proof-of-concept stage.

  3. 维科网机器人 · 微信公众号58

    Topstar signs orders for about 10,000 industrial robots in first three quarters, robotics business revenue up 88.83%

    Guangdong robotics industry chain lead company Topstar disclosed its performance for the first three quarters of 2026: industrial robot orders totaled about 10,000 units and shipments about 8,600 units, while revenue from its industrial robot and automated application systems business reached 1.028 billion yuan, up 88.83% year on year. Overall revenue was 1.969 billion yuan, up 16.68% year on year, and net profit attributable to shareholders was 146 million yuan, up 196.38% year on year. The company has submitted an application for a Hong Kong listing and disclosed embodied intelligence products including Xiaotuo and Xingzai, as well as the GMU-400E humanoid robot component machining solution.

  4. 人形大讲堂 · 微信公众号62

    Three cross-embodiment papers examined: body, motion, and environment data still need manual translation

    The article examines three cross-embodiment research papers published between October 24 and 26, arguing that cross-embodiment is more like translation than a spontaneous model capability. MimicAll uses a structured body-condition table covering 16 series and 4,096 body variants.

  5. 节卡机器人 · 微信公众号60

    JAKA Kargo wheeled humanoid robot deployed for bin handling at auto parts factory

    The JAKA Kargo wheeled humanoid robot, running the JAKA EVO embodied intelligence operating system, has been deployed for bin handling at the headlight plant and electronics plant of a leading Chinese auto parts manufacturer. Per-bin handling time dropped from 105 seconds per bin to 28 seconds per bin, nearly a 4x efficiency gain, and the robot also stacks bins five layers high and recovers empty bins by layer.

  8. 中国机器人网 · 微信公众号66

    Xiaomi announces 21-DOF bionic hand, completing closed-loop validation based on 1,827 factory SOP data points

    Xiaomi has announced that its new-generation high-DOF bionic hand has completed closed-loop validation from scenario requirements to engineering design, with specifications of 21 DOF, 26-motor hybrid actuation, and 1,500-point full-palm tactile sensing. The development was based on motion-capture collection from 1,827 of 2,579 SOP steps across 16 work sections at the pilot center of Xiaomi Auto's intelligent manufacturing department. Simulation ablations show that the 17-to-21-DOF range improves average stable-grasp success rate by 15% to 38% over the 6-to-15 range.

  9. 3D视觉工坊 · 微信公众号58

    Suzhou sandisiwei releases NexusPickit-S1 bin-picking software with source code and tutorials

    Suzhou sandisiwei has launched NexusPickit-S1 bin-picking software, aimed at automated picking of industrial parts that have no fixed pose and are randomly stacked. It provides source code, video tutorials, and Q&A support. The software's hand-eye calibration can be completed within 5 minutes with millimeter-level accuracy. In a configuration with a KW-MINI structured-light camera and a Dobot CR5 collaborative robot arm, picking accuracy is within about 5 mm; on an i7-13700H with 24 GB of memory, the cycle time is about 1.2 s per part, and it can run in a Windows environment without a GPU.

  12. 36Kr Embodied Intelligence58

    AgiBot GO-3 Nano Preview Tops RoboTwin Leaderboard with 85.01% Average Success Rate

    The latest RoboTwin leaderboard shows AgiBot GO-3 Nano Preview in first place with an average success rate of 85.01%. The leaderboard mainly evaluates dual-arm coordinated manipulation and environmental generalization in complex scenarios, with assessment dimensions including target recognition, motion coordination, and adaptation to environmental changes.

  13. 量子位60

    Hongqi Chain terminates robot unmanned vending system R&D; robot retail largely remains at proof-of-concept stage

    After 16 months of R&D, Hongqi Chain terminated its robot unmanned vending system project. The announcement said the system has not yet met the standard for large-scale commercial deployment, and the company is shifting to a 24-hour cloud-attended operation. The company previously disclosed issues including a high robotic-arm grasping failure rate, vision recognition affected by lighting, and insufficient obstacle avoidance and communication stability. Industry insiders said condensation on glass-bottled cold drinks in summer causes the robot to grip them unsteadily and drop and shatter them. A QuantumBit ROBO visit found that most retail robots only handle mobile picking, requiring staff on duty for restocking and charging. Industry insiders believe robot retail is still at the PoC stage and that replacing store staff will take another two to five years.

  14. Yaskawa70

    Yaskawa Electric and GAZOO Racing to Bring AI Autonomous Welding Robot Technology to GR KART Manufacturing Site

    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.

    Why it matters: 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.

  15. arXiv cs.RO62

    SCRIM: Quantifying State Criticality in Imitation Learning

    The authors propose SCRIM, a state criticality measure that uses an adversarial perturbation policy and a value critic to estimate the worst-case degradation in downstream value caused by small perturbations to expert actions, scoring each demonstration state. These scores can be used to reweight behavior-cloning losses or to select compact, high-value subsets of demonstrations, reducing training data while maintaining performance. The method is evaluated on a variety of simulated and real robot manipulation tasks, and the paper was accepted to CoRL 2026.

  16. arXiv cs.RO62

    AWARE: Action-Entropy-Weighted and Attention-Guided Retrieval of Observation Evidence for Vision-Language-Action Models

    The authors propose AWARE, a training-free, plug-and-play module for Vision-Language-Action (VLA) models that tracks layer-wise uncertainty via element-wise action entropy and retrieves observation evidence into the feed-forward networks' key-value memory through associative memory lookup.

  17. arXiv cs.RO72

    BiDex-100: A Bimanual Dexterous Manipulation Benchmark Covering 100+ Simulation Tasks

    The authors propose BiDex-100, a simulation benchmark for bimanual dexterous manipulation comprising 106 tasks organized along five capability dimensions: generalization, instruction following, limited demonstrations, long horizon, and memory. Each task is paired with an out-of-domain variant featuring controlled visual and spatial changes for evaluating robustness. The benchmark supports two embodiments and provides 8,080 success-validated teleoperated demonstrations totaling 6.25 million frames. The authors evaluate seven recent vision-language-action models under a unified protocol, establishing baselines for capability-specific performance, robustness, and data efficiency.

  18. arXiv cs.RO60

    Temporal Tactile Encoding and Compliant Control for Intent-Aware Robot-to-Human Bimanual Handover

    This study combines a VLA model with a compliant controller, fine-tuning the model using RGB observations, temporally encoded tactile feedback, and proprioception from human demonstrations to achieve robot-to-human bimanual handover. In a human-subject study, the system was compared against two baselines: one without tactile feedback and one with tactile feedback but no compliant control. Results show that compliant control and tactile history are complementary, with performance clearly outperforming the baselines. The project page is publicly available.

  19. arXiv cs.RO70

    From Grasping to Dexterous Manipulation: Large-Scale Grasp Pretraining for Dexterous Manipulation

    The research team proposes pretraining the low-level controller of a hierarchical imitation learning framework with large-scale dexterous grasp data, then fine-tuning it on downstream task demonstrations to support functional dexterity in articulated tool use. They built a 355k-trajectory grasp-pretraining dataset from large-scale dexterous grasp annotations and introduced DexCraft, a simulation benchmark with six articulated tool-use tasks. In simulation and real-world experiments, the method outperforms end-to-end diffusion policy baselines and hierarchical policies trained from scratch, improving real-world full-task success by 33.3 percentage points over DP3.