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Only First party#Grasping and manipulation
Jul 18Sat
  1. Lavender Hill Capital Partners23

    Elite Robots demonstrates full optical module plug-in/unplug testing process at WAIC booth

    Elite Robots gave a live on-site demonstration of the full optical module plug-in/unplug testing process at its WAIC booth, with the robot achieving sub-millimeter precision in optical component alignment and fiber connector insertion and removal. Chen Yu, an algorithm expert in its Embodied Intelligence Division, said the difficulty lies not in single-point precision but in covering the entire optical module process from components and PCBs to packaging and testing, and in connecting end-to-end autonomous capabilities from precision assembly to inspection. Through partnerships with leading optical communications and server companies, Elite Robots is shifting from delivering single machines to exporting replicable process know-how and production-line-level solutions.

  2. 智动未来40

    WAIC 2026 City Roam: Xiao Zhi Becomes a Robot Bartender

    Xiao Zhi S2 served as the resident robot bartender at the AGI Bar during the WAIC 2026 City Roam event, providing on-site beverage service to attending guests and media. After receiving a task, it identified and picked up a cup, moved to the equipment, aligned with the tap and poured the set amount of alcohol, then delivered the drink to the customer, with multiple actions connected continuously within the same business flow. Zhidong Future said it will continue to advance validation and deployment of Xiao Zhi in enterprise service scenarios such as food and beverage, retail, and reception.

Jul 17Fri
  1. Sunday Robotics78

    Sunday Robotics previews ACT-2 model with 99.1% zero-shot success rate in clothes folding

    Sunday Robotics previewed its robot model ACT-2, which achieved a 99.1% (±0.3%) zero-shot success rate in clothes folding across diverse unseen home environments with zero per-home adaptation, covering 9 clothing categories across 785 autonomous attempts, with an average folding quality of 4.72/5.

    Why it matters: The official disclosure provides detailed quantitative data on pretraining scale and generalization gaps, allowing readers to understand how a small amount of demonstration data transfers to unseen environments.

Jul 15Wed
  1. LimX Dynamics61

    LimX Dynamics releases humanoid VLA model V³-0 alongside COSA 0.5

    LimX Dynamics released V³-0 alongside COSA 0.5, a humanoid VLA technology stack in its VLA-tools layer that supports mobile whole-body manipulation, running on the 43-DOF LimX humanoid robot Oli.

    Why it matters: The original text explains the architectural composition of V³-0 and its human-in-the-loop real-robot reinforcement learning loop, which lets readers understand where the mobile whole-body manipulation capability comes from.

Jul 14Tue
  1. 灵巧智能56

    DexRobot completes several hundred million yuan Series A funding and forms two joint ventures with Shanghai Electric's Shanghai Mechanical & Electrical

    Embodied intelligence company DexRobot announced the completion of a Series A round of several hundred million yuan. The funds will be used for full-stack research and development of dexterous manipulation technology, iteration of its dexterous hand products, large-scale deployment across multiple industries, and industrial ecosystem development. Within 2026, the company has completed both an angel round and a Series A round of equity financing.

  2. PsiBot/灵初智能81

    Lingchu Intelligence and PKU-Lingchu Joint Lab Release and Open-Source Dual Dexterous Hand General Manipulation Model and Full-Stack System EgoSteer

    Lingchu Intelligence and the PKU-Lingchu Joint Lab released and open-sourced the dual dexterous hand general manipulation model and full-stack system EgoSteer, comprising the data processing pipeline EgoSmith, the robotics technology stack Robot-Stack, and a world-model-enhanced VLA model.

    Why it matters: The original text presents a complete chain from human-hand data processing and real-robot correction to model architecture and experimental figures, allowing readers to assess its reproducibility value.

Jul 9Thu
  1. 1X Technologies65

    1X releases 25-DOF tendon-driven dexterous hand for NEO humanoid robot

    1X Technologies announced a 25-DOF tendon-driven dexterous hand for the NEO humanoid robot platform, which will ship with every NEO unit.

    Why it matters: The original article provides key specifications and production progress for the 25-DOF tendon-driven hand, which readers can use to assess its actual impact on humanoid manipulation capabilities.

Jul 2Thu
  1. Stial/斯帝尔科技44

    STIER wins bid for AI intelligent flexible production line project from leading listed lighting company, achieving one-stop implementation of the full welding and grinding process

    STIER has won the bid for an intelligent manufacturing production line project from a globally renowned lighting company and will build an intelligent flexible production line covering upstream welding and downstream AI flexible grinding. The downstream grinding uses its AI flexible grinding robot, equipped with the self-developed PolishX flexible force control system and the AI brain NextBrain™ Mogu Cloud system. Through hybrid force/position control and real-time gravity compensation, it handles burrs, curved-surface polishing, and edge and corner grinding, while the entire line achieves coordinated linkage of welding, grinding, conveying, dust removal, and inspection.

  2. X Square Robot/自变量机器人67

    X Square Robot releases cross-modal embodied action tokenizer X-Tokenizer, with 13.5% gain in multimodal alignment and 8.25% gain in long-horizon tasks

    X Square Robot has released X-Tokenizer, a cross-modal embodied action tokenizer built on a semantic residual quantization (SRQ) architecture and pretrained on 17 robotic arm series and 2.4 million trajectories (including 2 billion action frames). Compared with FAST, it improves multimodal alignment by 13.5% and long-horizon task performance by 8.25%, and scores 82.8 on RoboTwin 2.0; in real-robot tests it outperforms comparison methods such as FAST and 4-level RVQ.

    Why it matters: The original text presents X-Tokenizer's method design and comparative experimental data, letting readers understand the action tokenizer's multimodal alignment approach and its reusable effects.

Jun 30Tue
  1. Figure AI63

    Figure 03 arrives at BMW Spartanburg plant for sequencing sorting tasks

    Figure AI announced that the Figure 03 humanoid robot has entered Hall 52 at BMW Group Plant Spartanburg, shifting from the sheet metal loading and unloading work previously done by Figure 02 to a sequencing sorting use case; Figure 02 took part in assembling 30,000 vehicles last year.

    Why it matters: The company has released details of Figure 03's deployment scenario at the BMW plant and of its Helix 02 drive, so readers can learn about progress in bringing humanoid robots from material handling to complex sorting.

Jun 29Mon
Jun 25Thu
  1. HUMANOID63

    KinetIQ Ascend uses real-world reinforcement learning to boost humanoid robot manipulation throughput and success rate

    HUMANOID has launched KinetIQ Ascend, an end-to-end visual reinforcement learning method that operates under production deployment conditions, extending its KinetIQ framework to let robots improve manipulation skills through trial and error rather than relying solely on human demonstration; the company says this is the first such method publicly demonstrated on production-line humanoid robot manipulation.

    Why it matters: The original text provides specific throughput and success-rate figures for three industrial tasks and notes a pattern of predictable performance improvement with training duration, making it useful for assessing the practical value of real-world reinforcement learning on humanoid robots.

  2. Stial/斯帝尔科技23

    STIER's AI flexible grinding achieves efficient, scratch-free, high-consistency weld seam grinding for battery box enclosures

    STIER uses AI flexible grinding technology to address the pain points of easy scratching and insufficient consistency in weld seam grinding for battery box enclosures. Its solution uses PolishX flexible force control (accuracy ±0.1N) and millimeter-level visual positioning perception, combined with a process grinding knowledge base and the NextBrain™ AI cloud system to make grinding decisions, and has self-learning and adaptive capabilities. It also provides full-process support including customized laser scanning solutions, real-time data monitoring, and grinding head wear warnings.

Jun 24Wed
  1. 正行创新 Striding AI · YouTube14

    Striding AI demos Physical AI system performing autonomous shelf restocking in simulated retail environment

    Striding AI released a demo showing its Physical AI system performing autonomous shelf restocking in a simulated retail environment. The restocking was completed in a simulated retail setting; the original text did not provide metrics such as robot model, payload, or success rate, nor did it state whether this was a real-machine run.

  3. Stial/斯帝尔科技26

    STIER AI flexible grinding robot workstation targets high-end precision manufacturing with a physical AI closed loop, deployed in wet grinding of silicon carbide composite materials

    STIER has launched an AI flexible grinding robot workstation that builds a "perception-analysis-decision-execution" physical AI closed loop, targeting the grinding of multi-curved-surface parts in high-end manufacturing such as aerospace and precision molds. The solution uses 3D vision inspection and positioning, a PolishX flexible force-control system belt grinder, and the self-developed NextBrain™ Mushroom Cloud system. In a wet grinding case involving silicon carbide composite workpieces, it achieved fully autonomous operation across the entire process, with contact force control accuracy of ±0.5% FS, per-piece processing time shortened by more than 22%, and product changeover completed within 10 minutes.

  4. Harbin Institute of Technology Robotics62

    HIT's Zhu Yanhe Team Publishes Paper on Cooperative Reconfiguration for Self-Repair in Modular Robots

    Professor Zhu Yanhe's team at Harbin Institute of Technology (HIT) published a paper in the International Journal of Extreme Manufacturing (IJEM), proposing an autonomous fault-tolerant repair strategy for modular robots based on cooperative reconfiguration, which restores joint fault damage by changing morphology without backup module replacement. The method combines topological description and kinematic self-modeling, particle swarm optimization to search for target configurations, and an improved RRT cooperative reconfiguration algorithm. In experiments, the fault-tolerance upper limit was 7 times higher than that of fixed-configuration redundancy methods. HIT is the sole completing institution, and doctoral student Qi Jian is the first author.

    Why it matters: The paper presents a cooperative reconfiguration fault-tolerance strategy that requires no backup modules and data showing a 7-fold increase in the fault-tolerance upper limit, allowing readers to understand a concrete implementation path for self-repair in robot swarms under extreme environments.

Jun 23Tue
  2. ROBROS · YouTube22

    ROBROS unveils first step toward robots that work alongside people: IGRIS-C box-moving demo

    In a video released by ROBROS, IGRIS-C moves the two boxes in front of it onto a conveyor belt one at a time, and when a person brings the boxes back, it repeats the same motion. ROBROS says its goal is not to replace people but to let people do better work alongside robots, and the video is the first stepping stone in this collaboration direction. The project is still at the PoC stage, and what is being shown is the process of building the solution, not a finished product.

Jun 22Mon
  1. Robot.com Holdings Inc.48

    Robot.com commercially launches R-noid humanoid robot, focused on repetitive roles, deployable in 8–12 weeks

    Robot.com announced the commercial launch of the R-noid™ humanoid robot, deployed under a Robot-as-a-Service model within 8–12 weeks after an initial site survey. The initial offering covers five solutions: Restaurant Assistant, Packer, Picker, Folder, and Host, targeting six industries: industrial, logistics, healthcare, food service, hospitality, and experience.

  2. Intrinsic47

    Intrinsic: Unlocking the value of Physical AI in manufacturing with a software-first approach

    Intrinsic is working with CNC system integrators Trinity Automation and MartinSystems to integrate AI capabilities such as perception, automated motion planning, and grasp insertion into machine tending robot products, so operators can use them without programming, supporting small-batch high-mix production.

Jun 18Thu
  1. 灵巧智能43

    Shanghai AI Research Institute, Lingqiao Intelligence, and HUST jointly establish embodied intelligence inspection and operation robot joint laboratory

    The Embodied Intelligence Inspection and Operation Robot Joint Laboratory, jointly built by Wanwu Lingqiao, a wholly owned subsidiary of Lingqiao Intelligence, and Huazhong University of Science and Technology, was officially unveiled on June 16, with the Shanghai AI Research Institute deeply involved in its co-construction. The three parties will focus on embodied intelligence, robotics, dexterous manipulation, and other directions, tackling core technologies for inspection and operation robots in industrial scenarios such as power and intelligent manufacturing and promoting large-scale deployment, forming a collaborative model in which enterprises drive market demand, universities tackle underlying technologies, and the research institute empowers the transformation of achievements.

Jun 17Wed
  1. Sanctuary AI57

    Sanctuary AI extends Physical AI strategy to industrial robots, achieving 99.5%+ success rate on wire plugging task

    Sanctuary AI announced a task success rate of over 99.5% on a wire plugging production task at a global Tier 1 automotive supplier, with a cycle time of 2.54 seconds, validated against the customer's real-time production benchmarks. The company has shifted its strategy to deploying Physical AI on existing commercial robot hardware rather than waiting for humanoid hardware to reach mass production; the system handles flexible cables on a moving conveyor, with throughput matching the customer's production line level.

Jun 12Fri
  1. Enchanted Tools · YouTube16

    Enchanted Tools Mirokaï demo: autonomous grasping, carrying, and delivery

    Enchanted Tools demonstrates the Mirokaï humanoid robot turning a spoken request into an autonomous process of grasping, carrying, and delivering an object to a designated area. The demo covers natural language understanding, autonomous grasp planning, drop-off area detection, and precision manipulation; the robot combines perception, planning, and manipulation to complete a real-world task. The source does not provide quantitative metrics such as success rate or payload. The post is dated June 16th, 2026.

Jun 8Mon
  1. PKU EPIC Lab64

    KPGrasp: A Scalable Keypoint Flow Matching Method for Dexterous Grasp Generation

    PKU EPIC Lab proposes KPGrasp, a dexterous grasp generation method that combines an all-Euclidean 3D hand-keypoint parameterization with a Transformer flow-matching model to learn grasp priors from large-scale data, without contact losses or contact-based test-time optimization.

    Why it matters: The paper presents a new contact-loss-free grasp generation method and specific results on two benchmarks, letting readers compare it with existing methods and assess its approach.

Jun 6Sat
  1. 富唯智能31

    Fuwei Intelligence: AI large models plus digital twins empower industrial humanoid robot deployment

    The Fuwei Intelligence Fuzhi 1 and Fuzhi 2 are mass-produced industrial humanoid robots, each with a dual-arm rated payload of 8 kg. Fuzhi 1 is equipped with FW75 precision robotic arms and dual RGB-D depth cameras, with accuracy of ±0.02 mm, and focuses on fine assembly; Fuzhi 2 has FW65 heavy-duty robotic arms, three industrial cameras, and a 2.2-meter lifting column, and focuses on heavy-load transfer. Both robots share Fuwei's self-developed AI large model and digital twin simulation platform, and are suited to industrial scenarios including automotive, electronics, logistics, healthcare, new energy, and CNC machining.

Jun 4Thu
Jun 3Wed
  1. Stial/斯帝尔科技28

    STIER Uses Physical AI Closed-Loop Technology to Enable a New Model for Flexible Grinding and Efficient Polishing of Bent Pipes

    STIER has built an integrated AI flexible grinding solution covering perception, analysis, decision-making, and execution, targeting the difficult grinding and polishing of special-shaped bent pipes such as liquid-cooling bent pipes and exhaust bent pipes. Its self-developed SeeV perception system combines 3D imaging to identify contours and deviations; the NextBrain™ AI Mushroom Cloud system plans trajectories and enables one-click changeover; and the six-axis AI flexible grinding robot is equipped with the PolishX flexible force control system, achieving contact force control accuracy of ±0.5% FS and supporting small-batch, multi-model customized production.

  2. 普华资本58

    Acorn Robot completes nearly 100 million yuan seed round, co-led by Puhua Capital

    Acorn Robot, a general-purpose embodied manipulation technology company, announced the completion of a nearly 100 million yuan seed round co-led by Puhua Capital and others, with the funds mainly used for core technology iteration, product commercialization, and team expansion. Founded in late 2024, the company's core models include the Natus on-device autonomous decision-making model, which gives robots three instincts—orientation, exploration, and interaction—enabling zero-data cold start, hardware self-adaptation, and millisecond-level response, and the Magis general-purpose manipulation skill model. It also develops its own visual-tactile sensors and has launched a third-generation product.

Jun 1Mon
May 24Sun
  1. Zerith Robotics/零次方36

    Zero Power's "robot convenience store" debuts at ICIF, completing orders in 15 seconds

    Hefei Zero Power Robotics Co., Ltd. appeared as a representative enterprise of Baohe District at the Anhui Pavilion of the 22nd China (Shenzhen) International Cultural Industries Fair with its "robot convenience store," marking the first time embodied intelligence has appeared at the fair in the form of a convenience retail store. After on-site visitors tap the screen to place an order, the robot autonomously goes to the retail shelf to select the product, completing order fulfillment in 15 seconds, with a fulfillment success rate of over 99% and more than 150 orders per day, exploring the integration of technology and culture in cultural tourism scenarios.

May 23Sat
  1. 拓斯达49

    From Single-Process Breakthroughs to Multi-Scenario Scale: Topstar's Path of Intelligent Manufacturing Evolution in the Automotive Industry

    Topstar completed a full-plant intelligent transformation for Changcheng Auto, delivering 19 Cartesian robots, 35 dehumidifying dryers, nearly 200 mold temperature controllers, and a central material-feeding pipeline system. Its sorting of irregular parts uses multimodal perception and a VLA large model to achieve millimeter-level positioning, with a grasp success rate of 95% and an effective sorting volume of 70% of that of a skilled worker. For lithium-battery handling, an AGV and robotic-arm composite body achieves sub-millisecond omnidirectional obstacle avoidance, with handling speed 11% higher than conventional solutions; it has been rolled out to multiple leading new-energy companies.

May 19Tue
  1. 极智嘉36

    Geek+ Robot Arm Picking Station Wins 2026 RBR50 Innovation Award

    Geek+ Robot Arm Picking Station won the 2026 RBR50 Innovation Award for its successful deployment at Schneider Electric's Shanghai warehouse. RBR50 is presented by The Robot Report at the Robotics Summit & Expo and annually recognizes the 50 most innovative companies in global robotics. This is Geek+'s fifth time winning the award, placing it alongside ABB, Amazon, Boston Dynamics, and Nvidia.

May 8Fri
  1. Figure AI62

    Figure AI shows two Helix-02 humanoid robots collaborating to tidy a bedroom

    Figure AI demonstrated two humanoid robots equipped with Helix-02 collaborating to tidy a bedroom within two minutes, completing tasks such as opening a door, hanging clothes, putting away headphones, closing a book, taking out trash, pushing a chair under a desk, and making a bed together. The two robots run the same learned vision-language-action (VLA) policy, with no shared planner, message passing, or central coordinator; each infers the other's intent from its actions via its own cameras. The company says that to its knowledge this is the first demonstration of multi-humanoid collaborative mobile manipulation completed by a single learned neural network directly from pixels to actions.

    Why it matters: The official demonstration shows two humanoid robots driven by the same VLA system collaborating to tidy a bedroom, giving readers insight into an approach to multi-robot collaboration without a shared planner.

May 6Wed
  1. Genesis AI · YouTube32

    Genesis AI's GENE-26.5 Autonomously Performs Straw Flip at 1x Speed

    Genesis AI's robotic foundation model GENE-26.5 autonomously completed a continuous one-handed fine manipulation sequence: unwrapping a straw, flipping the straw with one hand, dropping it into a cup, and then handing the drink to a person. The entire sequence was executed autonomously and filmed at 1x speed, not teleoperated. The demo showcases fluid one-handed dexterous manipulation across multiple small, precise actions.

May 1Fri