Skip to content
#Grasping and manipulation
Nov 1Sun
  1. 量子位62

    Hongqi Chain ends robot unmanned retail system R&D; convenience-store robots still can't sell independently

    After 16 months of R&D, Hongqi Chain has terminated development of its robot unmanned retail system. The company's announcement said the system has not yet met the standard for large-scale commercial deployment, and it is shifting to a 24-hour cloud-staffed operation business. An industry insider close to Hongqi said that in summer, condensation on glass-bottle cold drinks made the robot unable to grip them steadily, and it kept dropping and shattering them; it also could not reliably pick up goods in complex packaging, and operation was even harder when aisles were narrow and customers were nearby. In a robot retail warehouse visited by QbitAI, the robot only handled mobile picking, with each pick taking about 20-plus seconds, and human staff were still needed for restocking and charging. Several practitioners believe robot retail is still in the PoC stage.

  2. 机器人全球资讯 · 微信公众号60

    Humanoid Robots Accelerate Into Factories Across China: What Else Must They Learn to Do the Work?

    Shanghai has proposed deploying 8,000 humanoid robots into factories by 2028, while Jiangsu, Shenzhen and other regions are also advancing real-scenario training and production-line deployment; companies including SAIC and CATL have disclosed application progress. Most deployed cases are concentrated in decomposable processes such as cell grabbing and loading, test loading and unloading, and material handling and sorting. For example, AgiBot's "Nengzai No. 1" works at about one unit every 2 seconds on Buick's battery mass-production line, and Galbot S1 has entered CATL's production line to handle material handling and sorting. The article notes that entering factories still requires passing hurdles in stability, battery life and cost accounting, and cross-factory replication also requires reducing technology adaptation and system integration costs.

Oct 31Sat
  1. 深圳市机器人协会 · 微信公众号15

    Daimon's "Robot Artist" Appears at the Shanhua Award Exhibition's "Embodied Artistry" Special Event

    Daimon Robotics has partnered with the Sea World Culture and Arts Center in Shenzhen to present the "Embodied Artistry" special event, where a robot artist uses touch to iron-dye the colors of blossoms and uses intelligence to continue craftsmanship, appearing at the Shanhua Award exhibition. The event is open from October 30 to November 5, 2026, at the L2 Literature Space of the Sea World Culture and Arts Center in Shenzhen.

  2. 深圳市机器人协会 · 微信公众号22

    FAIR plus × Guoxian Demo Hub concludes its 11th session: six projects pitch, including Saisuode, Zhidongli, Juqiang, Chaowei, Fanbote, and Yuling

    On October 29, the 11th "FAIR plus × Guoxian Demo Hub" industry-finance matchmaking event, co-hosted by the Shenzhen Robotics Association and the International Advanced Technology Application and Promotion Center (Shenzhen), concluded, with 6 emerging companies pitching and more than 20 investment institutions participating.

  3. 锐曼REEMAN42

    How Can Autonomous Forklifts Turn Existing Stretch Wrappers into Automated Packaging Workstations? — REEMAN Ironhide Wireless Docking and Jingmen Factory Deployment

    REEMAN outlines an approach for retrofitting existing stretch wrappers using Ironhide autonomous forklifts: the forklift handles pallet pickup, placement, and warehouse transport, while the stretch wrapper continues to perform packaging, requiring a machine control interface, status feedback, and safety interlocks. In its wireless docking demonstration, pickup alignment deviation was within 2 cm and turntable placement deviation was within 5 cm, with the demonstration process taking about 6 minutes. There is also an Ironhide 3.0 deployment at a factory in Jingmen, Hubei; the two applications are independent of each other, and the data comes from REEMAN application materials and has not been independently verified.

  4. 锐曼REEMAN44

    How the REEMAN intelligent pallet wrapping and handling workstation connects autonomous forklifts with wrapping machines

    The REEMAN intelligent pallet wrapping and handling workstation uses an external wireless communication module to link the 1.5-ton payload Ironhide autonomous forklift with a turntable wrapping machine into a continuous process. The module can use I/O, RS485, Ethernet, or CAN interfaces depending on the equipment controller, and the wireless link uses LoRa or Wi-Fi. In the demonstration, pickup alignment deviation was ≤2 cm and drop-off deviation was ≤5 cm; wrapping and film cutting are completed automatically, and the full handling and packaging process takes about 6 minutes.

  5. 锐曼REEMAN42

    How the REEMAN Titan Mini Handles Non-Standard Tank Trolleys with Custom Forks

    REEMAN customized the forks on its Titan Mini autonomous forklift for a high-end electronic materials factory in Anhui, enabling it to directly handle the customer's existing wheeled mobile material tank trolleys without additional pallets. The trolley weighs about 275 kg when loaded, the Titan Mini has a rated payload of up to 2,000 kg, the one-way point-to-point transport distance is about 260 m, and it uses LiDAR SLAM navigation; under the current site configuration, a full work cycle takes about 4.5 minutes.

  6. 锐曼REEMAN47

    How Do Autonomous Forklifts Integrate with Automatic Doors and Stretch Wrappers? The REEMAN Jingmen Factory Case

    At an electronic materials factory in Jingmen, Hubei, REEMAN Ironhide 3.0 autonomous forklifts complete an integrated process: picking up goods in the production area, passing through two electric doors, handing off to a stretch wrapper, and delivering to the warehouse. The actual load is about 1,300 kg, with a rated load of 1,500 kg. The customer reports about 75 transport cycles per day, about 6.5 minutes per task, and a loaded route of about 270 meters, with support for automatic return to a mobile charging station. The forklift's reference price is about USD 9,900, and integration with doors and the stretch wrapper requires customization based on the site's controller interfaces.

Oct 30Fri
  1. 未来机器人网 · 微信公众号72

    Daxiao Robotics and NTU Release Mundo World Model

    Daxiao Robotics, in collaboration with Nanyang Technological University's S-Lab, has released Mundo, a world model that reconstructs 1 to 12 real-scene images into an explorable, physically interactive 3D simulation environment. The model has built-in physical properties, with MuJoCo computing object motion under gravity and contact constraints, and it supports training-data generation and policy testing for tasks such as navigation and pick-and-place. The team has reconstructed a hotel floor and laundry area for training service robots on navigation and interaction tasks.

  2. 机器之心 · 微信公众号75

    Shanghai Jiao Tong University and others propose VaM: using value prediction for task-progress memory, achieving over 95% success rate in 4-hour continuous carton assembly

    Shanghai Jiao Tong University, Shanghai Innovation Institute, and others propose Value as Memory (VaM), which feeds the recent prediction sequence of a value model into the action policy as task-progress memory, combined with an offline-to-online real-robot reinforcement learning pipeline. In a carton assembly task, VaM ran autonomously and continuously for 4 hours with a task success rate above 95%. Ablations show that compared with a version without the value cache, the final task success rate improved by 29.4%; the online RL approach improved average success rate by 32.8% across three tasks and reduced the real-world time cost per gradient step by 57.8% on average.

  3. 新智元 · 微信公众号74

    Daxiao Robotics and NTU S-Lab Release Interactive World Model Mundo

    Daxiao Robotics, in collaboration with Nanyang Technological University's S-Lab, has released Mundo, an interactive world model built for specific environments that integrates 3D scene reconstruction, physics simulation, and video generation. The system uses scene code to record object weight, center of mass, and friction coefficients, computes motion and collisions with a 960Hz MuJoCo physics engine, and then renders visuals combined with on-site photos; inputting 1 to 12 phone photos is enough to reconstruct a 3D space that supports pushing, pulling, and collisions.

  5. 遨博机器人 · 微信公众号35

    Application sharing: From palletizing to sorting, how do AUBO collaborative robots penetrate six major industrial scenarios?

    AUBO collaborative robots cover six major industrial scenarios—palletizing, assembly, grinding, spraying, inspection, and sorting—through force control, vision, and flexible deployment. The palletizing workstation supports one-click pallet pattern generation, 2-hour deployment, a maximum pallet height of 2.5 m, and a cycle rate of 9 boxes/min; the assembly station has a cycle time of 15 seconds and a fastening success rate of 99.8%; the newly released G40 adaptive collaborative robot has been used for grinding automotive metal structural parts and features IP67 protection and an explosion-proof design.

  6. 斯帝尔科技 · 微信公众号40

    STIER Project Case | Efficient Grinding of Weld Scars on Battery Boxes

    STIER uses the PolishX axial flexible force control device together with a flexible grinding robot to grind weld scars on battery boxes. The minimum actual output force can be controlled down to 1 N, with force control accuracy of ±0.8 N and response under 10 ms. A positioner enables autonomous grinding across multiple areas and autonomous tool changing. In testing, weld scars were removed cleanly and R corners and edges transitioned smoothly, with a cycle time of no more than 100 s per piece and a first-pass yield of no less than 90%. The solution targets welded box-type workpieces in the automotive and new energy industries and supports process validation with customer-supplied parts.

  7. 帕西尼 · 微信公众号56

    CAS Institute of Automation proposes tactile-enhanced grasp-and-insertion framework, achieving 67% success rate at 0.05 mm clearance

    The team led by Cheng Long at the Institute of Automation, Chinese Academy of Sciences, proposed a tactile-enhanced full-pipeline learning framework for grasping and insertion, achieving a 67% success rate at 0.05 mm clearance and a 60% reduction in peak contact force; the paper was accepted to IROS 2026. The research uses the PaXini PX6AX GEN3 multi-dimensional tactile sensor as its core sensing hardware, integrated into a seven-axis robotic arm, covering five geometric shapes and three clearance levels of 1, 0.25, and 0.05 mm. Under the same conditions, the tactile-free IL+RL approach achieved a 52% success rate, while the pure imitation learning approach achieved 0.

  8. 36Kr Embodied Intelligence71

    Critical Point releases OmniGlove Pro data-collection glove and begins mass-production delivery

    At the dexterous manipulation sub-forum of AgiBot Innovation Day, Critical Point released the OmniGlove Pro data-collection glove and began mass-production delivery. It focuses on "real-robot-ready" data that aligns human hands with real robots using high-precision EMF positioning and full-hand tactile collection.

  9. 月泉仿生 · 微信公众号58

    Yuequan Bionic's Bowen W-Bot 2.0 takes on live-line distribution network work at State Grid in Hefei

    Yuequan Bionic's Bowen W-Bot 2.0 wheeled humanoid robot has been deployed in live-line distribution network operations and maintenance at State Grid in Hefei, independently completing the full live-line cable stripping process; the case was reported by People's Daily New Media's "Unimaginable Chinese Economy" program. The solution uses vehicle-mounted deployment on an insulated bucket truck, is equipped with the X-Hand M1 dexterous hand and 7-DOF humanoid arms, has a dual-arm payload of 20 kg and a whole-hand lifting payload of 50 kg, covers working heights of 0–2.2 meters, and has a chassis footprint of 0.238 m².

  10. 机器人daily · 微信公众号62

    CAS Institute of Automation and Paxini collaborative study: tactile-enhanced reinforcement learning achieves sub-millimeter precision assembly

    A team led by Cheng Long at the Institute of Automation, Chinese Academy of Sciences, published research at IROS 2026 using tactile-enhanced reinforcement learning to improve the success rate and stability of sub-millimeter precision insertion. The approach first uses Diffusion Policy imitation learning to reach the hole opening, then SAC reinforcement learning to complete the insertion, and handles real-world tactile noise through tactile baseline compensation and balanced sampling grouped by torque.

  11. 中科慧灵 · 微信公众号58

    CASBOT completes several hundred million yuan A++ funding round; CASBOT PA model enters footwear workstation validation

    CASBOT announced the completion of a several-hundred-million-yuan Series A++ funding round, jointly invested by institutions including Zhilai Investment, Yonghua Investment, Maotian Investment, Yuanhe Chenkun, Guoke Kezhi, and Luning Investment. The funds will be used for mass production and delivery of products, R&D and iteration of embodied brain technology for key scenarios, and market expansion.

  12. 雷科技33

    Desktop robots are booming: Roboparty, Lingtong NIA-F01, myCobot and other embodied AI vendors push into a new track — is the endgame a physical Agent?

    Desktop robots are becoming a new offshoot for embodied AI vendors. Roboparty launched a bipedal desktop robot at 1,799 yuan, Lingtong's NIA-F01 is a humanoid figurine companion robot, and Elephant Robotics' myCobot series takes the form of small robotic arms aimed at secondary development. These products reuse the smartphone and IoT supply chains and cost less than full-size humanoid robots; consumer-grade selling points currently center on emotional companionship, while efficiency-tool solutions mostly require secondary development.

  13. Leiphone Robotics78

    Columbia's Yunzhu Li team presents FlexiTac open-source tactile sensor progress at IROS 2026

    At IROS 2026, Columbia University's Yunzhu Li team presented progress on FlexiTac, an open-source flexible piezoresistive tactile sensor platform, a year and a half after its open-source release. The sensor can be assembled in 3 minutes, bent and cut, and wrapped around gloves, fingertips, or robot skin. The team has integrated it into LeRobot and modified the UMI handheld device to add tactile recording, enabling synchronized visual-tactile data collection and policy pretraining. ADI is advancing a commercial version with tactile resolution five times that of a human finger, manufactured at scale using semiconductor fabrication processes.

    Why it matters: From sensor design and simulation calibration to UMI data collection, it presents a complete technical path toward scaling tactile perception.

  14. 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.

  15. Leiphone Robotics55

    IROS 2026 observations: How many hurdles must dexterous hands clear to move from demo to productivity?

    Leiphone observed on site at IROS 2026 that dexterous-hand demonstrations have shifted from simple grasping to complex contact, long-horizon tasks, and deformable-object manipulation. Yang Sicheng, founder of Yuansheng Intelligence, proposed that deployment must clear three thresholds: balanced system capability, long-term stable operation, and acquisition of high-quality manipulation data.

  16. 智东西69

    Critical Point's dexterous hand completes 72-step industrial POC, 8.5 minutes per operation approaches human level

    At the Dexterous Manipulation sub-forum of AgiBot Innovation Day, Critical Point connected live to the Wolong Hill factory to present industrial POC results for a robotic arm plus dexterous hand. The system continuously completed a 72-step process including loading and unloading, barcode scanning, grasping a screw gun, tightening and removing screws, and pressing buttons. Phase-one task success rate reached 98%, with 8.5 minutes per operation, close to the roughly 8 minutes for a human, and it can run continuously for 8 to 12 hours.

  17. 江苏箸境智能科技有限公司18

    Zhujing Debuts H1 Humanoid Robot "Xiao Zhu" at China-Europe Cross-Border Exchange Conference, Pursuing Global Embodied Intelligence

    At the 6th Innovation Fair China-Europe Cross-Border Exchange Conference 2026, Zhujing exhibited its H1 humanoid robot "Xiao Zhu" and multi-scenario deployment solutions, with a live demonstration of writing the Chinese character "Fu," showcasing arm motion control and fine force-controlled manipulation. The company hopes to connect with European robot manufacturers, automation integrators, and research institutions to explore cooperation in industrial production, commercial services, and co-building high-quality datasets, and plans to work with ecosystem partners to build an overseas embodied intelligence ecosystem and drive the coordinated overseas expansion of its products and solutions.

  18. HuggingFace Daily Papers75

    TinyAstral: Transferring a self-evolving harness to small generalist manipulation agents

    TinyAstral proposes a two-stage method: first, freeze an open-weight teacher model and use recursive self-improvement (RSI) to have frontier LLM agents read the teacher's trajectories and propose harness modifications, with each modification accepted only if it passes a paired statistical test; then freeze the final harness and distill a small student model.

  19. 江苏箸境智能科技有限公司18

    Zhujing Debuts H1 Humanoid Robot "Xiao Zhu" at China-Europe Cross-Border Exchange Conference, Pursuing Global Embodied Intelligence

    At the 6th Innovation Fair China-Europe Cross-Border Exchange Conference 2026, Zhujing exhibited its H1 humanoid robot "Xiao Zhu" and multi-scenario deployment solutions, with a live demonstration of writing the Chinese character "Fu," showcasing arm motion control and fine force-controlled manipulation. The company hopes to connect with European robot manufacturers, automation integrators, and research institutions to explore cooperation in industrial production, commercial services, and co-building high-quality datasets, and plans to work with ecosystem partners to build an overseas embodied intelligence ecosystem and drive the coordinated overseas expansion of its products and solutions.

  20. OFweek Robotics71

    Sharpa unveils D01 humanoid robot, W02 dexterous hand, and AE01 data glove at IROS 2026

    At IROS 2026, Sharpa released three fully self-developed new products: the D01 humanoid robot with full-body electronic skin, the W02 dexterous hand with full-palm tactile sensing and 21 active degrees of freedom, and the AE01 exoskeleton data glove, which captures hand movements with 22 encoders and returns tactile feedback.

  21. OFweek Robotics38

    First appearance after Pre-A funding: Ruoyu Technology brings Jiutian robot brain to the 2026 Intelligent Robot Expo

    Ruoyu Technology is exhibiting independently for the first time at the 2026 Intelligent Robot Expo, showing the Ruoyu Jiutian robot brain along with the Ruoyu Lanyue special-operation robot and the Ruoyu Zhaixing explosion-proof dexterous hand. The booth recreates an intelligent refueling scenario at 1:1 scale, with the Jiutian brain coordinating two robotic arms to complete a fully autonomous refueling demonstration; a Geely Binyue and a Censtar fuel dispenser serve as the co-branded operating platform. The company has just completed its Pre-A funding round and is replicating its "brain + hardware" model in high-value scenarios such as oil and gas and ports.

  22. OFweek Robotics38

    Ruoyu Technology Showcases at 2026 Intelligent Robot Expo: Ruoyu Jiutian Robot Brain Demonstrates Autonomous Refueling Operation

    Ruoyu Technology made its first independent exhibition appearance at the 2026 Intelligent Robot Expo, using a 1:1 replica intelligent refueling scenario to demonstrate the Ruoyu Lanyue special-operation robot's dual-arm coordination, with the Ruoyu Jiutian Robot Brain orchestrating the entire fully autonomous refueling process. The booth also brought together the Ruoyu Lanyue, the Ruoyu Zhaixing explosion-proof dexterous hand, and the Jiutian Brain, forming a "brain + hardware" product loop. Shortly before the exhibition, the company had just completed a Pre-A funding round, and the same implementation paradigm is being replicated in high-value scenarios such as oil and gas and ports.

  23. 机器科学55

    RoboScience's Shao Lin Presents Cross-Embodiment Dexterous Manipulation Path from D(R,O) Grasp to FingerEye at Unitree Ecosystem Conference

    Shao Lin, founder of RoboScience, spoke at the 2026 World Physical AI Conference and Unitree Partner Ecosystem Conference, presenting a cross-embodiment dexterous manipulation technology path from the ICRA 2025 Best Paper D(R,O) Grasp to the T(R,O) Grasp series and then to the FingerEye visuotactile framework.

  24. New Strategy Robotics68

    AgiBot releases safety-standard heavy-duty embodied robot Genie G2 Max, deployed at JD Logistics' Zhilang Warehouse

    AgiBot has officially released the safety-standard heavy-duty embodied robot Genie G2 Max, which has already been deployed in the inbound handling process at JD Logistics' Zhilang Warehouse. The robot has a single-arm payload of 20 kg and a dual-arm peak payload of 50 kg, arm repeat positioning accuracy of ≤±0.5 mm, and can depalletize 80 boxes and palletize 75 boxes per hour, with an overall operation success rate exceeding 99%. Zhilang Warehouse is a goods-to-person robot warehouse developed in-house by JD Logistics, and the G2 Max handles the tote placement task in its inbound process.

  25. HuggingFace Daily Papers80

    RoboArchitect: Automating the Design of Robotic Agents with Persistent Memory

    RoboArchitect lets a coding model observe robot rollouts, diagnose failures, and iteratively revise the agent harness around a frozen policy. Without updating any model weights, it raises average success from 9.7% to 43.3% (4.5x) on unseen scenes and from 12.7% to 40.2% (3.2x) on unseen tasks.

    Why it matters: It automatically evolves control code and persistent memory outside a frozen policy, offering a transferable approach to improving manipulation success without finetuning weights.

  26. Reddit r/humanoidrobotics35

    PNP Robotics' 20+ active-DOF dexterous hand: rich-contact manipulation enables stable valve rotation

    PNP Robotics demonstrated a dexterous hand with more than 20 active degrees of freedom that can perform rich-contact manipulation tasks such as valve rotation. Its ample actuated joints allow all five fingers to fully conform to a curved valve wheel, dynamically adjusting its grasp posture during rotation to accommodate valves of different sizes, and integrated tactile sensing enables precise contact-force adjustment to avoid slipping or jamming. The company offers a complete research kit for high-DOF dexterous hands, supporting validation of continuous-contact manipulation algorithms.

  27. CMU Robotics Institute62

    CMU proposes Wiggle and Go: estimating physical properties of ropes by wiggling to plan manipulation

    A team at CMU's Robotics Institute has proposed the Wiggle and Go system, in which a robot first briefly wiggles a rope or cable while an overhead camera records how the waves propagate; a computer vision algorithm then tracks the motion and estimates the object's physical properties, which are used to plan subsequent actions without repeated trial and error. The model is trained entirely in simulation, and properties are then estimated from the motion of real ropes being wiggled to improve prediction accuracy on real hardware. The research has been accepted to the 2026 Conference on Robot Learning (CoRL) and will be presented next month in Austin; it is partly funded by the U.S. National Science Foundation.

    Why it matters: The method estimates a rope's physical properties from a single wiggle and then plans actions accordingly, offering a transferable approach to deformable object manipulation.

Oct 29Thu
  2. 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.

  3. 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.

  4. 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.