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#Robot models and learning
Nov 2Mon
  1. arXiv cs.RO75

    CaPtain: A pipeline for post-training small open VLMs into code-as-policy robot agents

    CaPtain proposes an open post-training pipeline that trains small open vision-language models (VLMs) into code-as-policy (CaP) robot agents, without relying on VLAs, frontier models, or privileged state at test time. The pipeline first performs supervised fine-tuning on synthetic trajectories generated by GPT-6 Astra, then applies multi-turn reinforcement learning, introducing a physics critic that reads simulator privileged state to assign credit to each request.

  2. OFweek Robotics35

    Desktop robots are booming: embodied AI makers bet on a new track, is the endgame a physical Agent?

    Desktop robots are becoming a new offshoot for embodied AI makers, focused on two functions: emotional companionship and productivity tools. The Letianpai desktop robot entered the market at a price of 1,799 yuan, the Lingtong Nian NIA-F01 offers companion interaction in a figurine form, and Elephant Robotics' myCobot series of small robotic arms requires secondary development. The article argues that consumer products still center on emotional companionship and have not yet truly delivered on boosting productivity, and that the future requires moving toward modularity and upgrading the ability to operate in the physical world.

  3. HuggingFace Daily Papers76

    RoboColosseum: A distributed real-world robot policy evaluation framework across four embodiments

    RoboColosseum is a distributed evaluation framework that evaluates general-purpose robot policies over a network of locally operated robots in multiple locations, using unified policy serving and standardized protocols.

    Why it matters: This distributed evaluation framework used 5,699 paired trials to compare VLA policies with frontier agents, revealing inconsistent rankings across embodiments and a ranking reversal after fine-tuning.

  4. Reddit r/robotics62

    HoloBoxing proposes humanoid boxing policy training recipe, training from scratch in 7 minutes on a single consumer GPU

    HoloBoxing proposes a humanoid boxing learning recipe that trains a policy on top of a pretrained whole-body controller, completing training from scratch in 7 minutes on a single consumer GPU, and has released the code and paper. The recipe separates reusable motor skills from task decision-making: a compact planner requests future body-point targets, while a frozen controller handles joint-level execution.

  5. 机器人全球资讯 · 微信公众号60

    Toyota advances humanoid robot strategy, plans to deploy 400,000 robots

    Toyota is advancing its robotics strategy, planning to deploy 400,000 robots alongside an annual investment of $6.4 billion for factory automation, with a dedicated team coordinated by its chief production officer. Walden Robotics, spun off from Toyota's AI robotics business, has completed a $300 million funding round at a post-money valuation of $1.1 billion, and its general-purpose robots are already deployed at Toyota's North American factories. Foundation models developed by Toyota Research Institute can convert high-level instructions into real-time physical actions and motor control; they have been used on Boston Dynamics' Atlas and will also be deployed on Toyota's self-developed 50-kilogram-class humanoid robot Eley.

Nov 1Sun
  1. 甲子光年 · 微信公众号78

    Peking University's Dong Hao team proposes One Scan is Enough: embodied navigation post-training with a single scan

    Dong Hao's team at Peking University has published the paper "One Scan is Enough," which uses a LiDAR-equipped iPhone to scan a target environment once, automatically generates navigation tasks, and uses the reconstructed scene geometry for reinforcement post-training, without needing manual teleoperation demonstrations.

    Why it matters: A single iPhone scan replaces manual demonstrations; 200 real-robot tests give a success-rate comparison from 25% to 85%, showing how post-training costs could fall.

  2. 机器之心 · 微信公众号67

    Xingyan Intelligence Releases General Embodied Harness Framework Auriga, Leading RoboDojo Leaderboard in Zero-Shot Setting

    Xingyan Intelligence has launched Auriga, a general embodied Harness framework. Under a zero-shot protocol that involves no task-specific pre-tuning, no reliance on expert demonstrations, single-attempt execution, and no environment resets, it achieved a 57.74% average task success rate and an average process score of 64.00 across 42 tasks and 6,300 test episodes on RoboDojo, using GPT-6 Astra as the base model. It leads the leaderboard on both metrics.

  3. 机器之心 · 微信公众号78

    Fysics AI and Fudan propose Fysiverse-UniWAM unified world-action model, ranks first in both navigation and mobile manipulation across 24 real-robot tests

    Fysics AI, together with Fudan University's CITLab, proposed the unified world-action model Fysiverse-UniWAM, which uses a single model to handle autonomous navigation, mobile manipulation, and fixed-workstation dexterous manipulation.

    Why it matters: Readers can see a unified world-action model approach that does not rely on large-scale robot pretraining, along with the specific design of a shared backbone for navigation and manipulation.

  4. 量子位58

    Westlake University Establishes World Model Research Center; Incubated Company Awomo Has Raised Over 100 Million Yuan

    On October 31, the Westlake World Model Research Center was established at Westlake University's Yungu Campus, with Yu Kaicheng as director and Jin Yaochu as chief scientist. The center builds on the Autonomous Intelligence Laboratory AutoLab, founded three years ago, and focuses on world models and physical intelligence; AutoLab shifted toward a "conceptual world model" approach at the end of 2024, building physical concept representations in latent space. Its incubated company Westlake Shuzhi Awomo was founded in early 2026 and has cumulatively raised over 100 million yuan in seed and angel rounds. Awomo ranked first in four international robotics benchmark suites.

  5. 古月居 · 微信公众号50

    In-Depth Analysis of Open-Source Quadruped Robot Projects: A Complete Technical Map from Beginner to Research Level

    Based on a survey of more than 20 mainstream quadruped robot projects on GitHub, the article maps the open-source quadruped technology landscape across five schools: kinematic control, full-stack engineering, optimization algorithms, reinforcement learning, and hardware platforms.

  7. OFweek Robotics36

    The stronger Astra gets, the more one question matters: Is a Chinese robot's "body" an asset or a peripheral?

    SenseTime's Astra reaches 100% on LIBERO-Long++ and 81.9% on RoboDojo; the stronger the general-purpose brain, the more easily a robot body that conforms to standard interfaces can be swapped out as a "peripheral." Using Unitree's real-machine data flywheel, Zhiyuan's 3/4 R&D investment in the large and small brains, and Galaxy General's AstraBrain-WBC 0.5 trained on 2 billion frames of motion-capture data (92.58% zero-shot motion-tracking success rate, 0.39 ms inference latency) as examples, the article proposes three criteria: depth of in-house development at the execution layer, data return rate, and scenario replacement cost.

  8. HuggingFace Daily Papers72

    uni-robot-agent: A Unified Open-Source Framework for Robot-Use Agents

    A research team proposes uni-robot-agent, a unified framework to support further training of open-weight robot-use agents. Without privileged inputs, the out-of-the-box Qwen3.8-Flash-Next achieves a RoboDojo score of 31.39, surpassing the published GPT-6 Astra-RoboProbe result of 28.97, and performs competitively on 19 real-world tasks.

  9. Kinetix AI · YouTube20

    Kinetix AI and KaiRobotics humanoid robot ROOF: learning fall recovery in overhead-constrained spaces

    Kinetix AI and KaiRobotics demonstrated a humanoid robot's ability to recover from falls in overhead-constrained spaces; the related research is titled "ROOF: Learning Humanoid Fall Recovery under Overhead Constraints." The content was presented as a Halloween-themed demo, emphasizing completing recovery motions in narrow spaces; specific robot model specifications, success rates, and experimental conditions were not disclosed.

Oct 31Sat
  2. 机器人产业应用 · 微信公众号58

    Representation, VLA, and World Models Struggle to Converge: Is a Unified Interface the Next Inflection Point for Robot Foundation Models?

    The article discusses the review paper "Toward Unified Robot Learning: Bridging Representation, Vision-Language-Action, and World Models," published on September 3, 2026 by institutions including Fujitsu and Carnegie Mellon University, and examines the integration challenges arising from the independent development of three research lines: representation learning, VLA, and world models.

  3. 36氪 · 微信公众号22

    Google DeepMind releases Genie 4 world model research preview; Zhou Qunfei becomes China's newest richest woman with 127 billion yuan

    Google DeepMind released the Genie 4 world model research preview on October 27, marking the first native support for synchronized audio-video generation, extending the duration of a single coherent world from 1 minute in the previous generation to about 2 minutes, and supporting real-time scene modification via typing. Google also demonstrated an experiment in which Genie 4 worked with Gemini 4 Argon to direct a humanoid robot in playing checkers, but it is currently available only to a small number of testers, and ordinary users need a Google AI Ultra subscription.

  4. 36氪 · 微信公众号6

    Qiyuan Robotics launches PrimeSim world model, tops WorldSimProbe LIBERO leaderboard

    Qiyuan Robotics launched PrimeSim, a world-model simulator for robot training, on October 30 and topped the WorldSimProbe LIBERO leaderboard. The simulator builds an interactive, trial-and-error-friendly, continuously learning virtual world for robots, used for policy validation and reinforcement learning. In testing, reinforcement learning with it raised policy success rates from 61.7% to 73.2%.

  5. CVer · 微信公众号62

    Tianjin University proposes FAME: using multi-anchor exploration to help robots plan routes in unknown environments

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

  6. 人形大讲堂 · 微信公众号62

    WeRide subsidiary JingShuo Technology completes tens of millions of US dollars Pre-A funding round

    JingShuo Technology, a wholly owned subsidiary of WeRide, disclosed on October 29 a Pre-A funding round of tens of millions of US dollars, jointly invested by Joy Capital, Hong Kong Science Park, and Sirius Capital; the funds will be used to expand the R&D team and broaden the task types and scenario coverage of its datasets.

  7. 雷科技58

    Qiyuan Robotics' 5,000th robot rolls off the line and connects to Tencent WorkBuddy

    Qiyuan Robotics completed production of its 5,000th robot on October 25, taking 35 days since the September 20 launch of the Qiyuan Q1 and Qiyuan T1, with daily capacity rising from more than 10 units to more than 200. The company says it uses a general large model plus a self-developed VLA embodied model, and improves data collection efficiency with HIL-UMI post-training technology and uses the PrimeSim world model for simulation-based inference.

  8. 自变量机器人 · 微信公众号26

    Second Embodied Agent Hackathon opens registration; X Square Robot opens VLA and WAM model APIs

    X Square Robot will hold the second Embodied Agent Hackathon in Silicon Valley and Shenzhen in November 2026, directly providing APIs for VLA and WAM embodied foundation models, so contestants can develop tasks combining agents and robot hardware without collecting data or fine-tuning models.

  10. 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.

  11. 3D视觉工坊 · 微信公众号78

    HKU open-sources GenSfM: jointly reconstructing 3D objects and camera poses from four uncalibrated images

    A University of Hong Kong team has open-sourced GenSfM, which uses a native 3D diffusion model to jointly denoise object shape and per-view camera poses within a single multimodal sequence, requiring only 2 to 4 uncalibrated images and no camera intrinsics or extrinsics. Evaluated on Toys4k and GSO, it improves novel-view PSNR by 3.2–4.5 dB over the multi-view baseline TRELLIS-M, reduces median Chamfer distance by about 64%–74%, and achieves pose Acc@5° above 96%.

    Why it matters: The work turns a native 3D diffusion model into the main inference mechanism for joint denoising of shape and camera poses, and releases code and models as a reference for sparse-view reconstruction.

  12. 雷科技30

    Tencent Global Digital Ecosystem Summit: WorkBuddy Enterprise Edition deployed in over 50 industries; the challenge for agents entering enterprises lies in cost and workflows

    At the 2026 Tencent Global Digital Ecosystem Summit, Tencent disclosed that WorkBuddy has completed 9 billion task requests cumulatively since launching in March this year; its Enterprise Edition has been deployed in over 50 industries, covering 50% of China's Fortune 500 companies and 60% of China's Top 100 companies.

  13. Reddit r/robotics28

    WorldOracle example: A seemingly successful robot rollout may predict the wrong grasp

    WorldOracle presents a case where the real gripper failed to grasp the fruit, but the generated rollout showed the fruit being picked up, despite the model receiving the same initial observation and recorded actions. When evaluating predictions, check separately whether the robotic arm follows the trajectory and whether the object's final state is correct; for an empty grasp, predicting an empty grasp is the correct answer, while a seemingly successful grasp video may actually be wrong.

  14. Reddit r/robotics27

    Using an old Redmi 9 as the "brain" of a Thymio II: an on-device vision, voice, and obstacle-avoidance learning loop

    A weekend PoC mounts an old Redmi 9 on a Thymio II using Lego, with the phone running ML Kit face detection (including smile probability) and image annotation, rough lighting/motion estimation, animated expressions, and voice output, while the robot only executes wheel-speed targets and sends back sensor data. Behavior is a small state machine: cruise → back up → turn → observe → stop steadily; when a face is detected it enters a "meet" state and can answer "what do you see." Obstacle-avoidance learning is simple: after a collision it tries turning for 1.2s, 2.4s, or 3.8s, scored by the free-driving time before the next contact.

  15. Reddit r/robotics47

    Recreating a real tea station in Isaac Sim and scripting a Unitree G1 to make tea

    The team recreated a real self-service tea station as a physically interactive 3D environment in Isaac Sim, placed a Unitree G1 in it, and used a script to execute the five-step tea-making motion. The robot's motions were not extracted from human video; the entire run took place in simulation with physics enabled. The G1 still shows imperfect contact and slipping when interacting with objects, and there is currently no learned policy or automatic trajectory generation. The team is exploring whether such environments can serve as a source of synthetic robot demonstration data, including for robots with different embodiments.

  16. 爱范儿58

    Exin Therapeutics has AI agent perform brain surgery on mouse, refusing to proceed midway due to calibration anomaly

    Exin Therapeutics used an Arduino-modified surgical platform to let an AI agent complete a brain injection in a mouse; the agent selected the gene therapy vector and injection coordinates itself, injecting 250 nanoliters of solution within five minutes. A connection interruption caused the Y-axis target position to deviate 34 millimeters from the bench, and the agent refused to retry twice citing calibration issues, so the team ultimately modified the code manually. The craniotomy was still performed by a human, a licensed veterinarian held a physical emergency stop switch on site, and the entity that ultimately performed the surgery was Sonnet 5.

  17. 36Kr Embodied Intelligence18

    Qiyuan Robotics launches PrimeSim world model, tops WorldSimProbe LIBERO leaderboard

    On October 30, Qiyuan Robotics launched PrimeSim, a world-model simulator for robot training, and topped the WorldSimProbe LIBERO leaderboard. The simulator builds an interactive, trial-and-error, continuously learning virtual world for robots, supporting policy validation and reinforcement learning. In testing, reinforcement learning with it raised policy success rate from 61.7% to 73.2%.

  18. HuggingFace Daily Papers58

    BestRand proposes stable, low-cost benchmark compression method, extended to VLA evaluation

    BestRand is a stable and low-cost benchmark compression method that reduces the long-tail risk of high errors in random sampling. It was validated on more than 70 text, multimodal, and agent benchmarks and extended to VLA evaluation. Compared with competing methods, it reduces high-error risk by 50.2% and estimation error by 16.4% on average, while construction cost is only 51.3%. The authors also derived an analytical approximation of the error distribution when estimating full-benchmark scores from a subset, noting that random sampling yields small errors in most cases but has rare large errors.

  22. Tech Xplore Robotics60

    Moth-inspired robot grows UV sensor in body via artificial circulatory system

    A team from the University of Tartu in Estonia and the Italian Institute of Technology had a moth-inspired robot use an artificial circulatory system to deliver chemical raw materials such as pyrrole, synthesizing a polypyrrole UV sensor in situ where UV light struck, giving the robot a sensing capability it did not originally have.

Oct 30Fri
  1. 机器人前瞻 · 微信公众号78

    AgiBot releases WITA-OMNI interaction model and Lingqu OS 1.0, full open source by year-end

    At its 2026 Innovation Day, AgiBot released WITA-OMNI, an embodied omni-modal end-to-end interaction large model. It ranked first on four benchmarks: Daily-Omni, TimeLens-Bench, EmbSpatialBench, and MMAU, with an average response time of about 600 milliseconds.

    Why it matters: AgiBot released an interaction model, a native operating system, and an ecosystem plan all at once, giving readers a way to understand its path to opening up its technology foundation and how it accumulates real-world interaction data.

  2. 机器人全球资讯 · 微信公众号71

    Google DeepMind releases world model Genie 4, integrated with Gemini for task planning

    Google DeepMind has released Genie 4, a new-generation world model that supports real-time generation of explorable virtual worlds, modification of weather and scenes, simulation of physical effects such as collisions and gravity, and simultaneous generation of ambient sound effects and character dialogue. Genie 4 is Google's first real-time world model to support native audio generation; it is also integrated with Gemini 3.8 Flash as a real-time guiding agent, with Gemini understanding goals, observing the environment, and deciding the next action.