Skip to content
#Grasping and manipulation
Oct 19Mon
  1. arXiv cs.RO55

    DefFlow: A Goal-Conditioned Framework for Deformable Object Manipulation Based on 3D Point Flows

    DefFlow is a goal-conditioned manipulation framework for deformable objects. By jointly predicting the goal-conditioned 3D point flows of the robot and the deformable object from demonstrations, it captures manipulation decisions such as grasping, releasing, and re-grasping, as well as the continuous fine motions required to reach the goal. Across rope, granular media, and cloth settings with diverse initial and target configurations, DefFlow clearly outperforms goal-conditioned action prediction and robot-flow-only baselines on success rate and goal-distance metrics, and it was deployed on a real robot using real point cloud observations and unseen target configurations.

  2. arXiv cs.RO57

    Research on Pedicel-Targeted Strawberry Harvesting via Imitation Learning on a Low-Cost Teleoperated Robotic Arm

    This work proposes a visuomotor imitation learning pipeline for pedicel-targeted strawberry harvesting that unifies perception, motion planning, and contact manipulation: data is collected from human teleoperation demonstrations, an Action Chunking with Transformers (ACT) policy with a ResNet-50 visual backbone is trained, and the policy is deployed autonomously on a Jetson AGX Orin edge platform at 15 Hz.

  3. arXiv cs.RO48

    Shape-Aware Neural Time Fields: Physics-Informed Neural Time Fields for Rigid-Body Motion and Manipulation Planning

    We propose Shape-Aware Neural Time Fields, a physics-informed neural motion planning framework that learns a reusable travel-time (cost-to-go) representation for rigid-body motion, explicitly distinguishing the different geometric constraints on translation and rotation, and pairs it with a sampling-based planner.

  4. arXiv cs.RO76

    RAX: An open-source framework for scaling robot agent capabilities through online exploration

    The paper proposes RAX (Robot Agent eXploration), an open-source robot agent framework centered on scaling online exploration, in which a general-purpose coding agent generates robot control code without using action demonstration data, hand-engineered action primitives, or value-function guidance.

    Why it matters: The paper compares the imitation learning paradigm that relies on demonstration data with a demonstration-free online exploration approach, and reports quantitative gaps in simulation and on real robots, helping readers assess the feasibility of this direction.

  5. arXiv cs.RO70

    Has GPT-6-Astra Achieved Embodied Intelligence? SenseNova Joint Team Evaluation Report

    The SenseNova joint research team released a report evaluating GPT-6-Astra's embodied capabilities in robotic manipulation and navigation. Under a unified protocol, the team evaluated it on 12 representative benchmarks spanning tabletop manipulation, humanoids, mobile platforms, and dexterous hands, allowing in-context learning (ICL) from training-set demonstrations and substantially increasing the number of execution steps, achieving what the paper calls unprecedented performance.

  6. New Strategy Robotics38

    Youibot Showcases Multi-Form Mobile Manipulation Robots at 2026 Bay Area Semiconductor Industry Ecology Expo

    At the 2026 Bay Area Semiconductor Industry Ecology Expo (Shenzhen), Youibot exhibited multi-form mobile manipulation robots under its "one brain, multiple forms" architecture. The OW12-300 and ATS6F jointly demonstrated a 12-inch wafer pod handling process, while the OW8-350 performed on-site material grasping and handling; both were live dynamic demonstrations with actual robots. Its solutions cover the entire industry chain, from large-size silicon wafers, photomasks, and third-generation semiconductor substrates to packaging and testing, with a focus on cleanliness level, low vibration, and high-precision positioning. The booth is at 9C14, and the exhibition runs October 14-16.

  7. LeadeRobot60

    Guoyu Xingchen Completes Nearly 100 Million Yuan Series A Financing, Using Space Robot Swarms to Manage Satellites

    Guoyu Xingchen recently completed a nearly 100 million yuan Series A financing round, jointly invested by Yijing Capital, Fosun Chuangfu, and Luyao Capital, after previously completing three financing rounds. Founded in 2022, the company focuses on on-orbit servicing, on-orbit assembly, space manufacturing, and deep space development. Its self-developed space robots consist of four parts: body, perception, brain, and execution.

  8. 仙工智能58

    Seerbotics demonstrates VLA model completing Tower of Hanoi task: still able to continue solving after base is pushed and discs are scrambled

    Seerbotics demonstrated its self-developed VLA model driving a robotic arm to complete the seven-move sequence of a three-disc Tower of Hanoi. When an observer slides the base to change its overall position or rearranges the discs into an arbitrary intermediate state, the robotic arm can still re-identify the current configuration, determine the next move, and continue completing the remaining task. Trained on only 60 demonstration trajectories, the model can generalize across changes in object position, color, and shape. The Seerbotics robot "brain" consists of three layers—model, cerebellum, and nerve—responsible respectively for scene understanding and decision-making, motion planning and execution, and a unified interface connecting sensors and joint actuators.

  9. 机器人全球资讯 · 微信公众号62

    Westlake Robotics WR1 demonstrates full-body coordinated autonomous clothes folding and cross-area household chores

    Westlake Robotics has upgraded its general-purpose brain WR1, adopting a dual pretraining architecture of a general-purpose large brain and cerebellum, integrating a world model with VLA to generate action sequences, and executing full-body control through its self-developed general action model GAE. In the demonstration, WR1 completed a continuous task sequence: taking clothes from a drying rack, folding pants with two machines working together, and across the kitchen, living room, and bedroom, fetching corn, storing dolls, and tidying a quilt. The system introduces long- and short-term motion state review and a real-time action chunking mechanism to reduce pauses and abrupt changes in long-horizon tasks.

  10. 3D视觉工坊 · 微信公众号62

    UC Davis and ADI open-source Agile-WAM tactile world action model: 29.4% relative improvement in real-robot success rate

    UC Davis and ADI have open-sourced Agile-WAM, a tactile world action model for contact-rich manipulation. Through multi-scale, multimodal prediction, it lets vision be supervised over long spans and touch over next-frame spans, achieving a 29.4% relative improvement in overall success rate across five real-robot tasks. On a single RTX 4090, inference latency is 10.35 ms with a control frequency of 96.62 Hz, about 40 times higher than the diffusion policy DP; it achieves best or near-best results on multiple of 9 ManiFeel simulation tasks and Flexiv Rizon 4 real-robot tasks.

  11. Reddit r/robotics44

    EMG intent control vs. traditional control: PNP Robotics completes real-world validation on Franka robotic arm and dexterous hand

    PNP Robotics has completed real-world validation of a dexterous hand control system driven by surface electromyography (EMG) signals on the Franka collaborative robotic arm platform, achieving synchronized control of a 7-DOF robotic arm and a multi-joint dexterous hand. The system decodes EMG intent in real time, capturing neuromuscular activation before movement occurs, enabling adaptive grasping and fine in-hand manipulation. Compared with traditional control that relies on preprogrammed trajectories and joystick teleoperation, EMG intent control requires no rigid programming and is suited to unstructured, dynamic manipulation scenarios.

Oct 18Sun
  2. Guyuehome58

    EgoWAM Switches the Supervision Channel for Dual-Arm Manipulation from Actions to World State

    EgoWAM examines a concrete deployment conflict in dual-arm robotic manipulation: first-person human data collected by Project Aria glasses is cheap and abundant, but retargeting human hand trajectories into robot actions for behavior cloning (BC) is difficult, so this work switches the supervision channel from actions to world state.

  3. 36Kr Embodied Intelligence60

    Gewu Tongzhi Secures Nearly RMB 100 Million Angel Round, Betting on Physics-Inversion World Model

    Embodied-brain company Gewu Tongzhi has completed a nearly RMB 100 million angel funding round, with investors including Peak Investment, Hongfu Assets, and Hangzhou Capital. The funds will mainly be used for large-scale pretraining of its physics-inversion world model, hardware and body development, and scenario PoC validation.

  4. HuggingFace Daily Papers58

    BiDex-100: A dual-arm dexterous manipulation benchmark covering 100+ simulation tasks

    The paper proposes BiDex-100, a simulation benchmark for dual-arm dexterous manipulation comprising 106 tasks organized along five capability axes: 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 to assess robustness.

  6. Reddit r/robotics44

    DIY 4-DOF 3D-printed robotic arm plays Nine Men's Morris

    A 4-DOF 3D-printed DIY robotic arm has for the first time successfully recognized an opponent's moves via camera and autonomously completed a game of Nine Men's Morris. Joints J1-J3 use POM gears from Tarot 450 helicopter main gears paired with NEMA 14 stepper motors, J4 is driven by an RC servo, and the gripper is made of flexible TPU; the controller is a BTT SKR Pico 3D printer board with TMC2209 drivers supporting sensorless homing.

  8. Guyuehome60

    Reproduction and Evaluation of ACT on the MuJoCo Dual-Arm Block Handover Task

    A complete reproduction of the Action Chunking Transformer (ACT), implemented with LeRobot, on the MuJoCo dual-arm block handover task, covering the CVAE and action-chunking derivations, frame-by-frame comparison against the dataset to validate the inference pipeline, and a 20-episode deterministic closed-loop evaluation with a comparison of execution modes.

Oct 17Sat
  2. 机器之心 · 微信公众号70

    HKU's EgoWild2Dex trains dual-arm robot on 538.9 hours of "extremely dirty" human data, with under 1 hour of real-robot data

    The University of Hong Kong's MMLab team proposes EgoWild2Dex, which directly trains a dual-arm dexterous robot on 538.9 hours of unscripted human first-person manipulation data, using under 1 hour of real-robot data per downstream task; across three long-horizon tasks—unpacking a parcel, fixing ornaments with a hot glue gun, and making a cold drink—the average success rate is 96.7%.

  3. GitHub Robotics Topic36

    LiYan1919810/yuegang5-robotic-arm v0.4.0 — Task pause/resume, speed adjustment, and action group refactor

    LiYan1919810/yuegang5-robotic-arm released v0.4.0, adding pause/resume and serial-port speed adjustment for drawing/straight-line tasks (H/L keys adjust TURN_INTERVAL by ±5ms). Button one changed from looped execution to one playback per press; action groups A/B/C refactored into a two-stage handoff; teaching z compensation changed to per-point independent compensation based on the first point. The program grew from 1211 lines to 1298 lines; pause stability and handoff smoothness still await real-world testing.

  4. Tech Xplore Robotics47

    Team develops embodied robotic arm EmArm with human-like tactile sensing

    A team at the Hong Kong University of Science and Technology developed the embodied robotic arm EmArm, embedding a soft optical tactile skin into a rigid skeleton to achieve whole-arm tactile sensing and adaptive manipulation, with tactile sensing fidelity reaching 97.9% under five environmental disturbances. Its tactile skin covers over 71,000 square millimeters with a spatial resolution of 0.085 millimeters, can recognize five touch behaviors and provide emotional feedback, with recognition accuracy up to 99.8%. The research was published in Nature Sensors.

  5. 锐曼REEMAN42

    How the REEMAN Fly Boat AMR transports 200 kg of cargo via a 1.15 m elevator: a real electronics factory case study

    The REEMAN dual-laser Fly Boat factory delivery robot (Fly Boat AMR, ABOT11B) is deployed at an electronics factory in Zhuhai, transporting about 200 kg of PCB materials and bottled water per trip, with a rated payload of 300 kg, a loaded delivery route of about 600 m plus an empty return of about 100 m, and the customer reports about 70–90 trips per day.

  6. GitHub Embodied AI Topic58

    PhysiClaw hardware v0.50 released with bilingual assembly manual and custom STEP parts

    PhysiClaw has released hardware version v0.50, offering a bilingual assembly manual, sourcing guide, extrusion drawings, and custom STEP parts. The version is marked with source commit 7faada7c0fe39c155d568c16c1d8b862ab2ada66, and the artifact SHA-256 checksums and build provenance information are recorded in manifest.json.

  8. 高工人形机器人 · 微信公众号60

    CASBOT PA perception-to-action model deployed at shoe factory in Putian

    CASBOT PA (Perception-to-Action), a perception-to-action model developed in-house by CASBOT, has been deployed at real workstations in the Putian shoe factory of Fujian Xinbai Sports. At this stage, a robotic arm serves as the execution platform, with the pipeline running from visual perception to motion generation, kinematics processing, and real-machine execution.

  9. 机器人全球资讯 · 微信公众号60

    Jilin University team's Y-Hand M2 bionic dexterous hand reveals its internal structure for the first time

    The internal precision bionic structure of the Y-Hand M2 bionic dexterous hand was publicly shown for the first time at Jilin University's educational achievements exhibition. The product is an industrialization outcome of Professor Ren Lei's bionic tension-compression body robot theory at Jilin University and has been mass-produced by Beijing Daqi Yuequan Bionic Technology.

  10. 机器人产业应用 · 微信公众号74

    How far has Generalist AI GEN-1.5's physical prompting paradigm progressed?

    Generalist AI released GEN-1.5 on August 19, 2026; it can attempt new tasks from a single 3-12 second task demonstration without gradient updates, achieving a one-shot average success rate of 59%±10% across 10 short manipulation tasks, and this can be raised to 83%±9% by adding about 5 minutes of data and performing 10 gradient updates.

  11. Robotics 24/737

    CMES Robotics AI mixed-case palletizing robot to make US debut at PACK EXPO 2026

    CMES Robotics' AI-powered mixed-case robotic palletizing system will make its first public US appearance at PACK EXPO 2026 in Chicago. The system was launched in the international market in the first quarter of 2026 and uses AI-driven vision and grasping technology to identify, orient, and palletize cases of different sizes and shapes onto the same pallet. The company says it can be integrated into existing production lines without modifying the surrounding facility, and that deployment takes less time than most operators expect for robotic automation.

  12. Robotics 24/726

    Epson to showcase color label printing and collaborative robot packaging solutions at PACK EXPO 2026

    Epson will showcase packaging and fulfillment automation solutions combining ColorWorks on-demand color label printers with collaborative robots and vision technology at PACK EXPO 2026. The ColorWorks CW-C6000P paired with the 6-axis collaborative robot AX6 will demonstrate end-of-line labeling, while the T3 All-in-One SCARA with Epson Vision Guide will demonstrate pick-and-place secondary operation inspection.

Oct 16Fri
  3. Xbotics具身智能实验室 · 微信公众号19

    Xbotics Teams Up with Hangzhou Robotics School for 'Embodied Frontier Half-Day Offline Course': Getting the MicroDuck Robot Duck Moving

    Xbotics and Hangzhou Robotics School jointly present the 'Embodied Frontier Half-Day Offline Course,' held on October 25, 2026, 13:00–17:00 on the 3rd floor of Hangzhou Robotics School, at 400 yuan per person, limited to a small class of 15.

  4. OFweek Robotics60

    Rokae Robotics Showcases at 2026 CIIF, Humanoid Force-Controlled Arms Deliveries Surpass 10,000 Units

    From October 12 to 16, 2026, Rokae Robotics showcased its full lineup of industrial robots, flexible collaborative robots, and embodied intelligent robots at the CIIF held at the National Exhibition and Convention Center (Shanghai). The Zhuxing H-series wheeled humanoid robot has 23 degrees of freedom and integrates dual 7-axis AR humanoid force-controlled arms with the Xuanhe iNex control system; on-site demonstrations included intangible cultural heritage lacquer fan making and bin handling, the latter already deployed at a Schaeffler factory. In September 2026, Rokae's 10,000th humanoid force-controlled arm rolled off the line and was delivered, and the company has established cooperation with more than 80 industry partners.

  5. 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.

  6. 高工咨询 · 微信公众号38

    After AUBO Robotics' collaborative robot deliveries exceed 50,000 units, it puts embodied intelligence to work in factories

    AUBO Robotics' cumulative collaborative robot deliveries have exceeded 50,000 units, and at the 2026 Industry Expo it showcased an automotive flexible intelligent manufacturing production line and an embodied intelligence matrix. The production line consists of the G series, iS series, and explosion-proof series, covering gluing, spraying, grinding, inspection, assembly, and welding processes; the G40, with a 40 kg payload, demonstrated active constant-force grinding. The embodied intelligence section displayed the S series dual-arm sorting robot, which integrates 3D vision and force feedback, as well as RS/RP joint modules and a debut embodied controller, paired with the self-developed ARCS operating system and ARAL algorithm library.

  7. Robotics & Automation News49

    Tesla touch-sensitive "skin" patent published: can be used for robot fingers and palms

    A Tesla US patent application (US 2026/0310299 A1, published October 8) describes a touch-sensitive "skin" that can be molded into the shape of robot fingers and palms, with sensors first printed on a flexible flat material and then thermoformed into a three-dimensional shape. The approach uses two layers of flexible substrate with conductive areas sandwiching a compressible layer, supports capacitive and piezoresistive types, and emphasizes scalable manufacturing processes such as screen printing, laser cutting, and thermoforming. The patent does not confirm use in the Optimus humanoid robot, nor does it provide sensitivity, resolution, or durability data.

  9. 机器人产业应用 · 微信公众号57

    CASBOT PA perception-to-action model deployed on real production line at Putian shoe factory

    CASBOT PA (Perception-to-Action), a perception-to-action model independently developed by CASBOT, has been deployed at real workstations in Fujian Xinbai Sports' Putian shoe factory. At the current stage, a robotic arm serves as the execution platform, with the pipeline running from visual perception to motion generation, kinematic processing, and real-machine execution.