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#Robot models and learning
Oct 30Fri
  1. 雷科技78

    AgiBot Innovation Day releases Worken work-hour metric and Lingqu OS 1.0

    At AgiBot Innovation Day on October 29, AgiBot proposed Worken (effective intelligent work hours), a measurement standard whose formula is number of active robots × autonomous working hours × output efficiency ratio, and released Lingqu OS 1.0, a native operating system for embodied intelligence.

    Why it matters: At Innovation Day, AgiBot proposed the Worken work-hour metric and open-sourced Lingqu OS, giving readers a way to observe new paths for embodied intelligence commercialization and ecosystem openness.

  2. 量子位72

    Tsinghua University, Infinigence AI, and AgiBot propose collective experience learning CEL, validated on a 96-robot cluster

    Tsinghua University, Infinigence AI, and AgiBot jointly proposed the collective experience learning (CEL) paradigm, which lets robots share the successful experience of their peers rather than relying only on human demonstrations, and validated it on a cluster of 96 real robots. Two robots that did not participate in training were tested 600 times in total across five tasks—flower arranging, clothes folding, phone charging, stool assembly, and phone packaging—with 15 failures, for an overall success rate of 97.5%, all exceeding the average level of 6 human operators; the success rate on the phone packaging task rose from 79.2% to 98.3%.

  3. 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.

  4. 36Kr Embodied Intelligence60

    Qiyuan Robotics launches PrimeSim world model and tops WorldSimProbe LIBERO leaderboard

    Qiyuan Robotics has launched PrimeSim, a world-model simulator for robot training, and topped the WorldSimProbe LIBERO leaderboard. PrimeSim builds an interactive, trial-and-error, continuously learning virtual world for robots, used for policy validation and reinforcement learning. In tests, reinforcement learning with it raised policy success rate from 61.7% to 73.2%.

  5. OFweek Robotics65

    Maxinsights (Haiyu Shuwei) completes $30 million seed round, betting on real-world robot training data collection

    Silicon Valley-based Chinese physical AI company Maxinsights (Chinese entity Haiyu Shuwei) announced the completion of a $30 million seed round led by Peak XV, with participation from Tola Capital, South Park Commons, Ince Capital, and Alumni Ventures. All funds will go toward real-world robot training data collection.

  6. OFweek Robotics82

    X-Era AI Tuoyuan Zhihui releases open-source 4D world action model E0.5, with out-of-distribution real-robot success rate surpassing π0.5

    X-Era AI Tuoyuan Zhihui released the open-source native 4D world action model E0.5, which uses a 3D foundation model as its backbone and integrates future 3D geometry prediction directly into action learning. On the AgileX Piper dual-arm robot and the Zerith H1 humanoid robot, after pretraining on about 160,000 robot trajectories, E0.5 achieved overall average success rates of 85.0% and 88.3%, respectively, improving on π0.5 by 13.3 and 26.7 percentage points; its out-of-distribution average success rates were 73.3% and 76.7%.

    Why it matters: The original text provides a comparison of E0.5 and π0.5 success rates on out-of-distribution real-robot tasks, which readers can use to judge the effect of 3D geometry supervision on manipulation generalization.

  7. 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.

  8. The Humanoid Hub60

    PokeBot releases RoboAPI for natural-language access to Poke-Aurora world-action model

    PokeBot has released RoboAPI, an out-of-the-box embodied API that runs its Poke-Aurora world-action model on compatible hardware via natural-language instructions, with no task-specific training required. The API supports zero-shot generalization at roughly 1x human speed and lets users validate it on their own environments and tasks. RoboAPI is a non-commercial product under PokeBot, with documentation at developers.pokebot.com/docs/roboapi.

  9. 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.

  10. 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.

  11. 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.

  12. OFweek Robotics58

    Unitree's First Three Quarters Revenue 1.817 Billion Yuan, R&D Investment Up 191.48% Year-on-Year, Betting on Embodied Large Models

    Unitree Technology's revenue for the first three quarters of 2026 was 1.817 billion yuan, up 55.71% year-on-year, with net profit attributable to shareholders of 387 million yuan, up 270.54% year-on-year, though third-quarter net profit fell 17.37% year-on-year. R&D investment for the first three quarters rose 191.48% year-on-year to 263 million yuan, including 127 million yuan in the third quarter, up 249.58% year-on-year; the company said it continues to increase R&D and computing power investment in embodied large models.

  13. 极客公园31

    Agibot releases embodied model GO-3 Preview: can make jianbing guozi, work at convenience stores, tops three leaderboards

    Agibot launches the embodied model GO-3 Preview, built on an embodied-native WRAM (World Reasoning Action Model) architecture that connects task reasoning, future prediction, and action generation, supporting full-pipeline scaled learning across pretraining, post-training, and post-deployment.

  15. 36Kr Embodied Intelligence20

    Agibot Releases Embodied Foundation Model GO-3 Preview and Genie Master Plan, Full Open Source by End of 2026

    At the 2026 Agibot Innovation Day, Agibot released its next-generation embodied foundation model GO-3 Preview and plans to fully open source the model and the embodied Agent framework Genie Master by the end of 2026. On the same day, Agibot also released Worken, the first "work-hour KPI," introducing KPI assessment standards for robots.

  16. HuggingFace Daily Papers65

    CausalWAM: Learning the causal sources of actions in world action models

    The study proposes CWAM (Causal WAM), which adds a sparse routing path to the action head of a pretrained world action model, separating action-relevant latent variables from the other variables that world modeling depends on, while keeping the world modeling objective unchanged. The authors prove that under a sparsity constraint, the latent variables used to generate actions are merely an invertible function of the action-relevant latent variables, that the true structure is identifiable up to a permutation of the latent variables, and that this holds without relying on sufficient temporal dependence or assumptions about the evolution of unobserved states. Synthetic data and real-robot experiments validate the theory and show improved closed-loop success rate efficiency.

  17. 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.

  18. Reddit r/robotics62

    PhAIL launches robot policy competition: top 10 after two simulation rankings advance to real Franka finals

    The PhAIL team and Nebius have launched a robot policy competition. Participants package their policies as Docker submissions, which are first scored in two simulations: MolmoSpaces and RoboLab starting November 16. In December, the top 10 will run the same image on a real Franka. The tasks resemble the DROID benchmark but use a different dataset.

  19. HuggingFace Daily Papers58

    Study: Probe evaluation of spatial state representations in visual foundation models

    The study uses frozen-feature probes to examine ten visual foundation model representations across four levels—spatial structure, object persistence, predictive spatial update, and actionability—under streaming first-person observations of static indoor environments. Results show that strong readout of the visible scene does not guarantee accurate object persistence or future-feature retrieval, and a spatial reader trained on real features does not transfer unchanged to predicted features. Object persistence and actionability depend on camera pose readout, while feature prediction depends on visible-scene readout.

  20. Reddit r/robotics78

    PrismaX shares π0.5 policy transfer across YAM devices: fine-tuning ablations, latency bug, and 16GB VRAM deployment

    The PrismaX team shared its practice of transferring a π0.5 policy trained on one YAM device to another YAM device, covering three parts: fine-tuning ablations, latency troubleshooting, and VRAM compression. On fine-tuning, training only the action expert yielded a 51% grasp rate and a 12% drop rate; full fine-tuning gave 89% and 53%; r=128 LoRA gave 84% and 59% while using 32GB. Strong lighting roughly halved the performance of the checkpoint trained only on the action expert.

    Why it matters: The original post provides details on fine-tuning ablations, latency troubleshooting, and VRAM compression for π0.5 policy cross-device transfer, which can be reused on existing equipment in small labs.

  21. Robotics & Automation News75

    Agibot unveils AHA3 hardware platform, GO-3 Preview model, and G2 Max robot at 2026 Innovation Day

    At its October 29, 2026 Innovation Day in Shanghai, Agibot unveiled its third-generation humanoid hardware architecture AHA3, the embodied foundation model GO-3 Preview, the omni-modal interaction model WITA-Omni 1.0, the industrial robot G2 Max, and Link-U OS 1.0, and proposed the Worken framework for measuring robots' actual productive output.

Oct 29Thu
  1. 差评X.PIN · 微信公众号58

    Google DeepMind releases world model Genie 4, supporting real-time audio-video generation and scene modification

    Google DeepMind has released Genie 4, a new-generation world model that extends single-session world coherence from 1 minute in the previous generation, Genie 3, to 2 minutes, and becomes Google's first real-time world model with native support for synchronized audio-video generation.

  2. 机器人前瞻 · 微信公众号58

    WeRide subsidiary JingShuo Technology completes 70 million yuan pre-A funding round to build out world models

    WeRide disclosed that its subsidiary JingShuo Technology has completed a 70 million yuan pre-A funding round, with participation from Jiayu Capital, HKSTP (Hong Kong Science and Technology Parks), Sirius Capital and others; the investors together hold approximately 3.38%. JingShuo Technology has self-developed the integrated data-model platform WorldEngine, the world model GENESIS-Robotics and the data asset engine SkillForge, and has accumulated 500,000 hours of high-precision data, 50 million structured task segments and 200+ scenario skill packages.

  3. 机器人全球资讯 · 微信公众号56

    ETH Zurich biohybrid microrobot sets walking speed record at 0.4 body lengths per second

    ETH Zurich published a blog post on October 22 showcasing a biohybrid microrobot about 1.5 centimeters long, made from mouse skeletal muscle cells and a hydrogel scaffold, that can jump, run, swim, and grasp. The team used an algorithm to simultaneously optimize muscle tissue distribution, volume, and the hydrogel scaffold's shape and mechanical properties, achieving motion amplitudes up to 11 times greater than previous systems with similar muscle mass; the walking version reaches a speed of 6.2 millimeters per second, about 0.4 body lengths per second, which the study says is the highest speed reported to date for a walking biohybrid robot.

  4. 未来机器人网 · 微信公众号78

    Zhiyuan's Peng Zhihui: First-Half Revenue Near 2 Billion Yuan, 9,700 Humanoid Robots Shipped for Over 43% Global Share

    Peng Zhihui, co-founder, president, and CTO of Zhiyuan Robotics, disclosed at the 2026 Zhiyuan Innovation Day that in the first half of 2026 Zhiyuan shipped 9,700 humanoid robots, accounting for more than 43% of the global humanoid robot market, with revenue for the period approaching 2 billion yuan; as of September, cumulative output of general-purpose embodied robots surpassed 20,000 units.

    Why it matters: Zhiyuan disclosed first-half shipments of 9,700 units and revenue near 2 billion yuan, and introduced a new metric measuring commercialization by effective intelligent work hours, offering a way to track the pace at which humanoid robots move from demonstrations to delivery.

  5. 未来机器人网 · 微信公众号67

    Daxiao Robotics opens ACE-Brain-0.6 API, bringing spatial grounding capability to ACE Hub

    Daxiao Robotics has released the ACE-Brain-0.6 API, opening its spatial grounding capability to external developers through the ACE Hub platform, so they can call it without deploying the model independently. A simultaneous upgrade expanded high-quality spatial grounding training data from about 1.1 million to 1.5 million entries, raised the model's average score on seven public grounding benchmarks to 75.41, and increased inference speed beyond that of GPT-6 Astra.

  7. 甲子光年 · 微信公众号74

    AgiBot Innovation Day proposes Worken metric, unveils AHA3 architecture and Lingqu OS 1.0

    At the October 29, 2026 AgiBot Innovation Day, AgiBot proposed for the first time the Worken (effective intelligent work hours) metric for measuring a robot's effective workload, and released its third-generation hardware architecture AHA3, the heavy-duty embodied robot Genie G2 Max, and the embodied intelligence operating system Lingqu OS 1.0.

  9. 36Kr Embodied Intelligence78

    AgiBot Releases GO-3 Preview, WITA-OMNI and AGILE, Connecting the Full Physical AI Chain

    At its Innovation Day, AgiBot released the GO-3 Preview embodied foundation model, the WITA-OMNI native multimodal interaction model and the AGILE general motion intelligence algorithm framework, and also launched Lingqu OS 1.0 and the AHA3 third-generation hardware architecture.

    Why it matters: AgiBot released three types of models—task execution, interaction and motion—along with software and hardware architectures in one go, giving readers a clear view of its deployment approach across the full physical AI chain.

  11. 36氪 · 微信公众号75

    AgiBot releases GO-3 Preview, WITA-OMNI, AGILE, and Lingqu OS 1.0, connecting the full physical AI chain

    At its Innovation Day, AgiBot released the GO-3 Preview embodied foundation model, the WITA-OMNI native multimodal interaction model, the AGILE general motion intelligence algorithm framework, the third-generation hardware architecture AHA3, and Lingqu OS 1.0, covering the three intelligence lines of operation, interaction, and motion.

  12. 机器人产业应用 · 微信公众号58

    Muxi and Geely both take stakes in Daxiao Robotics: why a chipmaker and an automaker are betting on embodied AI

    On October 8, a business registration change took place at Shanghai Daxiao Infinite Robotics, adding new shareholders including Muxi Digital Intelligence under Muxi and Geely Chuangxiang No. 20, a Geely Capital-affiliated entity; registered capital increased to 182 million yuan. Daxiao Robotics centers on the Kairos world model, and has already piloted a wheeled-arm lift robot at a Kunlun Haoke convenience store, completing product recognition, picking, transport, and packing. The article's analysis says Muxi values validation of domestic GPU software stack compatibility with world models, while Geely uses the investment to fill gaps in world models and robot manipulation capabilities, but taking a stake does not mean purchase orders or an exclusive partnership have been formed.

  14. 机器之心 · 微信公众号78

    AgiBot releases embodied model GO-3 Preview, enabling full-pipeline scaled learning from pretraining to post-deployment

    AgiBot has released the embodied model GO-3 Preview, focused on full-pipeline scaled learning across pretraining, post-training, and post-deployment, and it ranked first in three evaluations: RoboDojo, RoboTwin, and RoboColiseum.

    Why it matters: AgiBot disclosed GO-3 Preview's three-stage learning pipeline of pretraining, post-training, and post-deployment, along with specific benefit data from mixed training using real-machine clusters and world models.

  15. 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.

  16. 机器之心 · 微信公众号67

    Tianjin University team proposes FAME: an active 3D mapping method using Flow Matching to generate multiple exploration goals, selected for NeurIPS 2026 Spotlight

    A team from Tianjin University and Hefei University of Technology proposes FAME, which uses Conditional Flow Matching to simultaneously generate multiple exploration anchors, then determines routes through A* path planning, path clustering, and hierarchical selection. The paper was accepted to NeurIPS 2026 and selected for Spotlight.

  17. 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.

  18. 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.

  19. 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.