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#Data and simulation
Oct 14Wed
Oct 13Tue
  1. D-Robotics Developer Community9

    Discussion of S100 quantized model task submission failure

    Developers reported on the forum that submitting a task for an S100 quantized model failed and was not submitted to the cloud. Respondents pointed out that the official workflow is to use hb_compile on a development machine or inside Docker, which directly produces a .hbm file, with no cloud submission step. They also requested error logs, the quantization entry point (web page or command line), the ONNX export script, the opset version, input dimensions, and other information to determine whether the issue is a model/configuration problem or a platform task problem.

  2. OFweek Robotics70

    Embodied AI data collection supply chain investigation: ordinary people become data workers, about 4.47 billion yuan in funding in one year

    Embodied AI lacks real manipulation data, spawning a complete supply chain from collection and annotation to trading; 15 independent embodied data service providers raised about 4.47 billion yuan within one year. The industry is shifting from centralized data collection centers to bodyless crowdsourced collection: Mifeng Technology launched the Mifeng Pai platform covering 40 cities, and Figure launched the Index platform with 69,943 weekly active contributors. At the same time, controversies persist over data being subcontracted layer by layer at falling prices, workers' lack of informed consent, and collected data ultimately training robots that replace their own jobs.

  3. GitHub Robotics Topic67

    Rerun 0.39.0 released: multilingual text, audio view, Viewer MCP, and more

    Rerun has released version 0.39.0, a database and visualization toolbox for multimodal and temporal data. Key updates include support for text in any language and color emoji, the Rerun Viewer in marimo notebooks, Raw Bayer images, PLY mesh and 2D point support, as well as an experimental audio view (AssetAudio archetype and AudioView) and ray-stepped 3D volume rendering.

  4. Xbotics具身智能实验室 · 微信公众号74

    UniWAM open-sources unified world and action model, leading multiple benchmarks with 99.2% on LIBERO and 68.32% on RoboTwin C2R

    The UniWAM team has open-sourced the code and weights of UniWAM, a unified world and action model, achieving success rates of 99.2%, 92.6%, and 68.32% on LIBERO, LIBERO-Plus, and RoboTwin 2.0 C2R, respectively, the highest values among the methods listed in the corresponding tables of the paper.

  5. Reddit r/humanoidrobotics45

    Opinion: We may be underestimating the role of the camera itself in robot datasets

    Drawing on experience with first-person robot data processing, the author points out that storing only RGB frames makes observations hard to localize in 3D space; camera intrinsics, distortion parameters, and stereo extrinsics, combined with matching algorithms, can recover depth in real units downstream. In its egocentric-view collection setup, the team synchronously records calibrated stereo video, camera poses, body skeleton, and hand coordinates, and combines this with motion tracking to support downstream tasks such as reconstruction, multi-sensor alignment, and cross-embodiment transfer. The author stresses that sensors and dataset design should be planned together, since calibration and synchronization errors can make the lowest-cost datasets hard to use.

  6. 江苏箸境智能科技有限公司57

    Zhujing Participates in Drafting National Standard "Specification for the Construction of Humanoid Robot Data Training Grounds"; Draft for Public Comment Released

    Recently, the draft for public comment of the national standard "Specification for the Construction of Humanoid Robot Data Training Grounds" (plan number: 20261784-T-604), which Zhujing participated in drafting, was released. The standard is administered by TC591 and executed by TC591SC5, with the China Machinery Industry Federation as the competent authority.

  7. 江苏箸境智能科技有限公司59

    Zhujing Participates in Drafting National Standard "Specification for Construction of Humanoid Robot Data Training Grounds"; Draft for Public Comment Released

    Recently, the draft for public comment of the national standard "Specification for Construction of Humanoid Robot Data Training Grounds" (plan number: 20261784-T-604), in whose drafting Zhujing participated, was released. The national standard is administered by TC591 and executed by TC591SC5, with the China Machinery Industry Federation as the competent authority.

  8. GitHub Robotics Topic73

    Physics simulation engine DART 6.20.0 released, up to 18.9x faster in contact-heavy scenes

    DART has released version 6.20.0; a 3,000-shape scene runs 18.9x faster than 6.19.4 under the ODE detector, resting bodies can sleep and no longer sink. This version is not ABI compatible with 6.19, FCL now defaults to exact primitive-shape collision, builds require a new toolchain such as GCC 11.2 and Clang 13, and optional multithreaded solving and heap-allocation-free stepping are added.

  9. ZhenFund · 微信公众号63

    Natural Will releases first physical general foundation model Natura-1, 50-billion-parameter MoE drives 20-DoF dexterous hand

    Natural Will has released Natura-1, its first general foundation model for the physical world. It is a 50-billion-parameter mixture-of-experts (MoE) model pretrained on 1 million hours of first-person human experience data. Taking language and vision as input, it can drive a 20-DoF dexterous hand within a 100-millisecond control loop and follow complex natural-language instructions zero-shot.

  10. OFweek Robotics54

    Fangqi Technology completes eight-figure angel round led by TUSStar

    Fangqi Technology, a Tsinghua-affiliated robot brain company, has completed an eight-figure angel funding round led by TUSStar, just four months after its registration and establishment. The company does not build hardware bodies; instead, it trains robot skills using ordinary human video footage combined with world models, and claims that overall processing cost is 80% lower than traditional teleoperation, time consumption is reduced to 30%, and action execution success rates are on par with traditional approaches. It has begun joint research and real-world testing with a five-star chain hotel management group in Jiangsu, and is supplying its robot brain system to a robot hardware manufacturer in Shenzhen.

  11. OFweek Robotics37

    From color-sorting quality inspection to flexible assembly, D-Robotics showcases multiple industrial AI solutions

    D-Robotics is exhibiting for the first time at the 26th China International Industry Fair, showcasing Sunrises intelligent computing chips, the RDK robotics developer kit, and the RoboGo software platform, covering visual inspection, industrial data acquisition, and industrial embodied solutions, with a computing power lineup of 5–560 TOPS.

  12. OFweek Robotics63

    Oula Wanxiang Completes Four Funding Rounds in Half a Year as Zhou Shunbo Bets on Home Embodied-Intelligence Robots

    On October 12, 2026, home embodied-intelligence company Oula Wanxiang completed a angel-plus round of several hundred million yuan, jointly invested by Chengyuanxiang Fund, Xinneng Venture Capital, Xizhou International, Topband, Hony Capital, and others. Since its founding in March 2026, the company has completed four consecutive funding rounds. Founder Zhou Shunbo was the first head of Huawei's Embodied Intelligence Innovation Lab. The company has chosen a mobile base plus dual-arm approach, with products focused on being "cultivable"; it is initially serving Maker users, has reserved more than 1,000 seed users, has a team of about 70 people, and plans to advance small-scale validation of its first-generation product in the first quarter of 2027.

  14. Reddit r/robotics42

    MEgoVista demo collection test: reconstructing hand motion when a cup blocks the fingers

    MEgoVista reconstructs hand motion when an object occludes the hand: when the demonstrator naturally grips a cup and some fingers are blocked by the cup, the system can still extend the reconstructed hand into the occluded region. The method optimizes hand motion over the entire video, combining reliable visual observations with temporal continuity and anatomical constraints, thereby using information beyond a single occluded frame. For small teams collecting robot demonstration data, this means demonstrators do not need to change their grip to expose their fingers.

  15. GitHub Robotics Topic44

    AIRclub-UdeSA jar_workshops Week 10: ROS 2 bag data of "maze victim search" recorded on a real robot

    AIRclub-UdeSA released a ROS 2 bag recorded on a real robot for jar_workshops Week 10: a 2-minute capture in an arena filled with boxes, containing lidar, camera, odometry, IMU, and TF data. wget download and extraction commands are provided, and the empty-arena map comes with the Week 10 mapa_laberinto package.

  16. Reddit r/robotics49

    Testing Go2 and G1 policies in a LiDAR-reconstructed office digital twin: grasp failures, falls, and collision shortcuts

    A developer tested a Go2 equipped with dual SO-101 robotic arms and a 29-joint G1 in MuJoCo simulation within an office digital twin reconstructed from an Ouster OS0 LiDAR and phone imagery; this was purely simulation, not a real-robot demonstration. The G1 walking policy fell in all 12 trials on flat ground when an arm-raise motion was superimposed; a corrected Go2 grasp-and-place run landed 1.68 mm from the target, but reruns still failed. Inter-robot collisions were disabled in the shared scene, and multi-robot obstacle avoidance as well as mass and contact parameters remain to be validated.

  17. GitHub Embodied AI Topic29

    Embodied Data Atlas v0.7.0-rc.1 released

    The Embodied Data Atlas project has released v0.7.0-rc.1. The homepage adds animated scenes and the official DROID demonstration; six research-task cards show their top three entries and support Chinese and English search, quick filters, and shareable rankings. The catalog remains at 177 records and 171 independent families, includes 13,669 paper metadata records, passed 149 tests and 224 browser checks, and is deployed on GitHub Pages.

  18. GitHub Embodied AI Topic21

    Embodied Data Atlas v0.7.0-rc.2 released

    Embodied Data Atlas has released v0.7.0-rc.2, fixing evidence-anchor positioning under public-host loading. The catalog remains at 177 records and 171 independent dataset families, including 13,669 paper metadata records and 18 reviewed primary papers; local validation passed 149 tests and 224 browser checks, and the required CI has passed. The site is deployed on GitHub Pages as a public pre-release version ahead of 1.0.

  20. GitHub Embodied AI Topic38

    Embodied Data Atlas v0.4.0-rc.1 released, restructuring the site around dataset selection and evidence inspection

    Embodied Data Atlas 0.4.0 restructures the site to focus on dataset selection and evidence inspection, adding 3 new 2025 primary research cases to bring the literature collection to 14 works, while still covering 46 catalog records across 40 published independent families. The version ships with 116 Node tests and 150 browser checks; desktop LCP is 2.244s, throttled mobile LCP is 3.576s, and CLS is 0 on both. The version remains pre-1.0 and does not claim a completed first-party domain deployment.

  22. GitHub Embodied AI Topic43

    Embodied Data Atlas v0.6.0-rc.1 Released

    Embodied Data Atlas v0.6.0-rc.1 is released; task pages can directly open animated covers and load the complete dataset directory with task presets applied. The independent paper index contains 13,669 deduplicated records from 2002–2026, with search by title, author, topic, year, and provider, plus pagination; 171 independent dataset families, 177 records, and 8 executed sample recipes retain their original evidence scope.

Oct 12Mon
  1. 节卡机器人 · 微信公众号61

    JAKA unveils JAKA Zu50 and JAKA Kargo50 in global debut at 2026 CIIF

    At the 2026 China International Industry Fair, JAKA made the global debut of two new products under the theme "General Purpose Is the Future": the JAKA Zu50 high-payload collaborative robot and the JAKA Kargo50 heavy-load wheeled humanoid robot. The JAKA Kargo tote-handling application was brought in from the factory floor of a leading global auto parts company; within one month, the per-tote cycle time dropped from 105 seconds to 28 seconds, the atomic skills for tote scenarios expanded from 12 to 78, and the deployment cycle for similar new scenarios was compressed from 12 months to 57 days.

  3. GitHub Embodied AI Topic36

    Embodied Data Atlas v0.4.0-rc.1 released: site restructured around dataset selection and evidence inspection

    Embodied Data Atlas v0.4.0-rc.1 reorganizes the site into an interface centered on dataset selection and evidence inspection, adding direct homepage search, facet counts, task presets, and empty-result recovery; the literature library and sample-loading library are separated and support shareable filters.

  6. Reddit r/robotics59

    Index of 480+ robotics papers with open-source code updated daily, covering VLA, manipulation, and sim-to-real

    The author has released a daily-updated index of robotics papers, currently covering more than 480 papers from 2026, with an archive going back to 2017. Each entry includes links to the arXiv page, PDF, and code repository, and is tagged by topic for filtering. Paper pages provide plain-language summaries, key points, and figures from the original text, covering VLA, manipulation, locomotion, sim-to-real, humanoid robots, navigation, and reinforcement learning.

  7. OFweek Robotics67

    Oula Wanxiang completes hundreds of millions of yuan angel+ round, four funding rounds in half a year

    On October 12, Oula Wanxiang announced the completion of an angel+ round of hundreds of millions of yuan, with participation from Chengyuanxiang Fund, Xinneng Venture Capital, Topband, Hony Capital and others; the company has completed four funding rounds within half a year of its founding. The company proposes a cultivable approach, using a mobile chassis plus dual robotic arms form factor, initially iterating for maker developers, and partnering with Haokang Home to obtain home-service demonstration data; in September it released two self-developed AI models, OLASem and OLAGeo, focused respectively on semantic understanding and 3D spatial perception, attempting to build a data loop.

  8. OFweek Robotics60

    KUKA Unveils KAI Intelligent Platform and LBR NEXUS Collaborative Robot Among Multiple Products at CIIF

    On October 12, during the China International Industry Fair, KUKA officially launched the KUKA Advanced Intelligence (KAI) platform, which uses full-volume data, digital twins, and multi-agent systems to build an industrial intelligence hub for the entire factory, delivering integrated services spanning consulting and planning, IT/OT integration, production scheduling optimization, and quality control.

  9. Guyuehome57

    Complete Derivation of Navigation and Grasping for an Autonomous Tidying Robot Based on MuJoCo

    Centered on the autonomous tidying task of a mobile manipulator, this tutorial presents a complete derivation chain covering occupancy grid log-odds mapping, A* global path planning, model predictive trajectory tracking, and grasp-and-place control. The author reproduces the full workflow of mapping, navigation, grasping, and transport in a MuJoCo four-room scenario.

  10. Guyuehome34

    TinyWAM Source Code Walkthrough: Data Generation, Visual Encoding, and the Full Flow Matching Pipeline

    This TinyWAM source code walkthrough reviews the core implementation of this lightweight World Action Model, covering data generation, visual encoding, Flow Matching, model training, and the closed-loop execution pipeline. The article explains each stage alongside the source code to help readers understand the technical principles and engineering implementation of world action models.

  12. GitHub Embodied AI Topic60

    DexForce EmbodiChain v0.3.1 released: expanded rendering control, motion generation, and reproducible data collection

    EmbodiChain has released v0.3.1, expanding rendering control, motion generation, and reproducible data collection on top of v0.3.0. It adds scoped DLSS/OptiX/NRD configuration, NoRender motion training, whole-scene USD export, offline dataset validation/recovery and independent LeRobot export, and unifies task and semantic subtask language in expert recording.

  14. 松灵机器人55

    What is Mobile ALOHA? How a dual-arm mobile robot learns tasks through teleoperation

    Mobile ALOHA is a low-cost, open-source dual-arm mobile manipulation system proposed by a Stanford research team. It adds a mobile base and a whole-body teleoperation interface to the ALOHA dual-arm teleoperation platform, synchronously collecting vision, robotic arm state, and base motion data through teleoperation, then training policies with imitation learning methods such as behavioral cloning. Among these, ACT predicts a segment of an action sequence at a time.

  15. Reddit r/robotics53

    Sim XR opens Quest teleoperation simulation demo, successful attempts to be compiled into LeRobot dataset

    The Sim XR team has opened a cloud-based teleoperation demo in which users can remotely control a robot's dual arms in a browser using the two controllers of a Quest 3 or 3S. The task is to pick up a jam jar and place it on a breakfast tray in a scanned French castle scene.

  16. Pollen Robotics · YouTube64

    Pollen Robotics launches Microduck Arena virtual competition arena

    Pollen Robotics has released Microduck Arena, a virtual arena where Microduck robots race, train, and compete without the need for physical robots. Users train policies with reinforcement learning and publish them to their own Hugging Face accounts to enter challenges; each submission is evaluated uniformly by the Arena, and results can be compared across players. Published policies can be downloaded as .onnx files to watch replays and learn from the best runs.

    Why it matters: It connects policy training, unified evaluation, and replay-based learning into a closed loop, letting readers learn how to train and compare reinforcement learning policies without physical robots.

  17. Xbotics具身智能实验室 · 微信公众号59

    Xbotics Embodied Intelligence 21 Lectures, Lecture 5: Simulation Environments and Task Setup, from Real Tasks to a Reviewable Closed Loop

    Lecture 5 of Xbotics Embodied Intelligence 21 Lectures uses the SO-101 robotic arm in MuJoCo as its main thread, explaining how to break a single simulation demonstration into a simulation experiment closed loop that can be recorded, judged, and reviewed.