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#Open source
Oct 16Fri
  1. HuggingFace Daily Papers67

    HexaShell: Exploring the Limits of VLM Coding Agents as Robot Agents

    Researchers propose HexaShell, a system in which a coding agent built on a vision-language model drives a dual-arm robot through a single command line; the framework only converts the agent's commands into robot motion. After each failure, the agent reads the log, identifies the cause, and writes or fixes small tool programs. The tools use only the robot's own observations, determining the relative positions of objects through triangulation and, when necessary, moving a wrist camera to obtain a second viewpoint.

  2. HuggingFace Daily Papers60

    RoboHarness: Simple robot framework outperforms VLA and world action models on BEHAVIOR tasks

    The research team proposes RoboHarness, which gives LLM agents a visual-geometric control panel so they can directly understand and invoke embodied tasks. With this framework, Qwen3.8-Flash-Next surpassed the current state-of-the-art VLA models on BEHAVIOR Challenge 2025 tasks, and the implementation is open source. The authors believe coding agents have the potential to achieve generalist embodied manipulation without relying on large-scale training of vision-language-action models.

  3. 机器人产业应用 · 微信公众号72

    Open Source Has Become a Business: Embodied Models Flood the Market with Open Models, Weights, and Data—Who Actually Delivered, and Who Only Made Promises?

    The author reviews the surge of embodied model open-source announcements since September and proposes judging open-source usability by five components: code, weights, data, license, and reproduction process. The author also divides the degree of openness into four levels: fully open, code and weights open but data missing, only weights or API open, and promises that remain at Coming soon.

Oct 15Thu
  1. GitHub Robotics Topic41

    BrickSort v0.1.0 released: model recognizes about 600 LEGO parts

    The LEGO part recognition project BrickSort has released its first public version, v0.1.0, along with a trained model, lego_model.pt, that can recognize the type, color, category, and whether a part is printed for about 600 LEGO parts. The code is under the MIT license, and the model file uses the same license because its training data (the B200 LEGO Detection Dataset) is CC BY-SA 4.0. The author notes that the accuracy printed by training is optimistic, and an independent test on photos of unseen parts has not yet been conducted.

Oct 14Wed
  1. GitHub Embodied AI Topic50

    PhysiClaw hardware v0.43 released with assembly manual, sourcing guide, and STEP printed parts

    PhysiClaw released hardware v0.43 build files for assembling the PhysiClaw device, with English and Chinese materials. Contents include a full assembly manual (HTML + PDF with exploded-view SVGs), a sourcing guide with extrusion technical drawings, technical drawings for the 7 frame extrusions, and STEP files for the 9 custom 3D-printed parts (recommended to print in black PA12 via SLS/MJF) plus a bilingual print guide.

Sep 28Mon
  1. 至简动力 · 微信公众号72

    Simplexity Robotics releases and open-sources world-action model SimpleWAM, with 6B model achieving on-device inference as low as 42.31ms

    Simplexity Robotics has launched and open-sourced the world-action model SimpleWAM; the 6B-parameter version reduces inference latency on NVIDIA ThorX (T5000) from 181.23ms to 42.31ms, enabling high-frequency closed-loop operation on-device at nearly 24Hz.

    Why it matters: The original article presents the on-device optimization path from 181ms to 42ms and four architectural designs, which can be transferred to understand how world-action models can meet high-frequency closed-loop control requirements.

Sep 22Tue
  1. Intrinsic74

    Intrinsic releases open-source Intrinsic Core physical AI platform and OMTS reference solution

    Intrinsic has released the open-source Intrinsic Core platform, which includes hardware-agnostic real-time control, 6-DoF pose estimation based on NVIDIA FoundationPose, motion and grasp planning, Gazebo simulation, camera calibration, and Intrinsic-ROS drivers.

    Why it matters: The official announcement describes the open-source platform's core capabilities in control, perception, and planning, as well as its reference solution, which readers can use to assess its reusability in manipulation-oriented industrial automation.

Sep 14Mon
  1. Dexmal 原力灵机 · 微信公众号73

    Force Spirit DM0.5 Tops All Four RoboColiseum Leaderboards

    Force Spirit announced that DM0.5 has topped all four RoboColiseum leaderboards (instruction following, spatial understanding, perturbation adaptation, and general manipulation), making it the only model on the leaderboards to rank first in every evaluation.

    Why it matters: The original article lists DM0.5's specific scores on multiple leaderboards and its inference latency reduction data, which can be used to assess the practical effectiveness of its pretraining approach.

Sep 10Thu
  1. 宇树科技 · 微信公众号62

    Unitree Robotics fully upgrades and open-sources its general-purpose humanoid foundation model

    Unitree Robotics announced a full upgrade and open-sourcing of its general-purpose humanoid foundation model, claiming it leads global open-source models on 7 benchmarks. The material provides only a title and a one-sentence summary; it does not give the model name, version number, or specific scores for each benchmark.

Aug 13Thu
  1. 智源研究院 · 微信公众号72

    Zhongzhi FlagOS completes Day0 adaptation of Qwen3.8-2.4T across nine chips

    On the first day of Alibaba's open-source release of the 2.4-trillion-parameter MoE model Qwen3.8-2.4T-A95B, the Zhongzhi FlagOS community completed multi-chip adaptation, precision alignment, and deployment validation across 9 AI chips, providing BF16, FP8, INT8, and other multi-precision versions.

    Why it matters: The article presents a zero-code-change adaptation path and a quantization compression scheme, which readers can use to assess how existing domestic compute can support ultra-large models.

Jul 14Tue
  1. RoboParty · 微信公众号75

    RoboParty Lab Established, Open-Sources Three Humanoid Robot Toolchains for Training, Control, and Data

    RoboParty announced the establishment of RoboParty Lab and open-sourced three humanoid robot toolchains: the supervised learning training framework MimicLite, the unsupervised reinforcement learning control framework UFO, and the motion retargeting tool hhtools.

    Why it matters: The three toolchains provide specific figures on training compute, time required, and the policies already integrated, which readers can use to assess their reuse value in their own R&D workflows.

Jun 28Sun
Apr 30Thu
  1. LimX Dynamics67

    LimX Dynamics Open-Sources FluxVLA Engine, a Standardized VLA Engineering Foundation

    LimX Dynamics has officially open-sourced FluxVLA Engine, a standardized VLA engineering foundation for embodied intelligence that covers the full pipeline from data and training to simulation evaluation and real-robot deployment.

    Why it matters: LimX Dynamics has officially open-sourced its VLA engineering foundation, which lets readers understand how unified configuration and real-robot deployment workflows lower the barrier to research and development.

Apr 24Fri
  1. 简智机器人 · X71

    Genrobot open-sources Phase 3 UMI dual-arm manipulation dataset

    Genrobot has open-sourced the Phase 3 UMI dataset, containing 13K+ hours of dual-arm data that is ready to use and supports sub-1ms frame-level synchronization and high-fidelity trajectory reconstruction. The data was collected by 3K+ contributors in 10K+ real homes, covering diverse everyday manipulation skills. Download at https://huggingface.co/datasets/genrobot2025/10Kh-RealOmin-OpenData.

    Why it matters: The data scale and real-home collection background help readers judge whether this kind of UMI data can be used to train their own manipulation tasks.

Apr 23Thu
  1. 若创科技42

    Strutt releases ev¹ Co-design Kit design files

    Strutt has released a Co-design Kit for the ev¹, offering downloadable files for accessory interfaces, a parts repository, and sticker templates so users can design their own modification accessories. The files include DXF, PDF, STEP, IGES, STL, GLB, and USDZ formats, covering interfaces such as the backrest, rear rack, armrests, seat, and footrests, as well as 3D models of parts including armrest panels, brake release handles, joystick extensions, screen modules, wheel covers, and hubcaps.

Mar 23Mon
  1. 松灵机器人66

    NYU open-sources YOR, a low-cost dual-arm mobile robot, with bill of materials under $10,000

    A research team at New York University has open-sourced YOR (Your Own Robot), a mobile dual-arm manipulation robot, with a bill of materials cost below $10,000. The project homepage is www.yourownrobot.ai, and the paper is at arxiv.org/abs/2602.11150.

    Why it matters: An open-source dual-arm mobile platform under $10,000 offers a reproducible hardware path and measured data, making it suitable for evaluating the cost and capability trade-offs of building a mobile manipulation system in-house.