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Open Artifacts with links to supporting source material.

850 selected reportsLast 30 days 753 recordsAll coverage 2,512 records

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Signal archive — Page 42

2026-10-05Mon821–840 records
  1. LeRobot68

    The author explores the LeRobot community dataset, using embeddings and FiftyOne to analyze 497 episodes across 50 robot types. They identify near-duplicates, filter sessions, and reveal cross-embodiment patterns like cloth folding. A curated subset is available for further exploration.

    Quoted postharpreet@DataScienceHarp

    you balanced your robot dataset by embodiment. the embeddings say you balanced it by recording session i pulled 10 episodes from each of the 50 robot types in lerobot's community dataset and embedded every clip with qwen3-vl 1. 495 of 497 clips have their nearest neighbor in the same session 2. 292 score below 0.1 uniqueness 3. the two "most unique" clips are single-frame recordings, 0.02 seconds long filter the session out and the cross-embodiment signal shows up: a cloth fold on one rig lands next to so100 arms folding cloth i indexed all 497 episodes in fiftyone so you can search by text, cut the near-duplicates, and export a curated lerobot v3 subset one prompt to an agent with fiftyone skills built the whole thing start here, read the full blog: https://huggingface.co/blog/harpreetsahota/fiftyone-now-reads-lerobot-50-embodiments-497-epis read the dataset card: https://huggingface.co/datasets/Voxel51/community_v3_10per_embodiment @LeRobotHF @Alibaba_Qwen

  2. Robotics — Robot learning news discovery82

    Fine-Grained Annotated Robotic Trajectory Dataset and Vision-Language-Action Policy

    This paper presents FineART, a densely annotated bimanual manipulation dataset with 40,543 episodes and 533,913 subtask labels, totaling 1,718 hours. It also introduces FineART-VLA, a vision-language-action policy that improves task success rates through dense subtask training. The dataset and model are open-sourced, offering a new benchmark for long-horizon bimanual manipulation tasks.

  3. Chinese robotics — Dataset and collection discovery68

    Dual-Arm Embodied Intelligence Teleoperation Platform - Ai Cai Gou Source Bible

    The Cobot Magic platform features a modular, high-precision design with Tracer differential chassis and PiPER six-axis arms, supporting ROS frameworks and open-source algorithms. It integrates multi-modal perception systems and enables data collection for tasks like precision assembly and home care, with a 50% reduction in development time and 30-50% cost savings compared to traditional solutions.

2026-10-03Sat
  1. Machine Heart — Robotics on WeChat75

    CoRL 2026｜Making Robots More Agile: Starting with Learning to Walk

    This paper presents LeaP, a learnable source prior for generative robot policies, which replaces fixed standard Gaussian distributions with state-dependent random initialization. LeaP jointly learns the mean and variance of an initial Gaussian distribution, improving action generation in robotic tasks. The method achieves an average success rate of 81.6% in simulation and 80.0% on real robotic arms, outperforming existing baselines like A2A and VITA. The paper is accepted at CoRL 2026, and the code is open-sourced.

2026-10-02Fri
  1. Sanctuary AI — Research and announcements82

    TIGER: Task-Space Imitation Guidance for Efficient Reinforcement Learning

    Sanctuary AI introduces TIGER, a reinforcement learning framework that uses imitation policies as dense reward signals to improve efficiency and safety. TIGER reduces interaction steps and safety resets on both simulated and real-world tasks, demonstrating its potential for deployment in industrial robotics.

2026-10-01Thu
  1. International Journal of Robotics Research — Journal metadata75

    GrandTour: A legged robotics dataset in the wild for multi-modal perception and state estimation

    The GrandTour dataset addresses the lack of large-scale, real-world legged-robot data by providing time-synchronized sensor data from multiple modalities, including LiDAR, RGB cameras, depth sensors, and GNSS. It supports research in SLAM, state estimation, and multi-modal learning, with data available in ROS and HuggingFace formats.

2026-09-23Wed
  1. Animesh Garg78

    FLUX 3 Action is an open-source 7B parameter world action model that achieves first place on the RoboLab benchmark. It outperforms previous models by 6.1 percentage points with 56% fewer parameters and runs 3.95x faster. The model supports fine-tuning for specific robots and tasks and is integrated into LeRobot with deployment on NVIDIA Jetson.

    Quoted postBlack Forest Labs@bfl_ai

    Introducing FLUX 3 Action. An open weights 7B World Action Model that achieves first place on the RoboLab benchmark. It outperforms the previous best open model by 6.1 percentage points while using 56% fewer parameters and running up to 3.95x faster.⁠⁠ FLUX 3 Action removes the usual trade-off between world action model performance and VLA speed: it still predicts video and actions together, but plans more than twice as far ahead and runs faster per second of robot motion than the strongest open VLA. Teams can fine-tune FLUX 3 Action on their own demonstrations to create policies for a particular robot and task. Together with @nvidia, we also integrated FLUX 3 Action natively into @huggingface's LeRobot, with fine-tuning recipes included and edge deployment on NVIDIA Jetson. Beyond robotics, we’re also seeing promising results training task-specific policies for acting in simulated environments like gaming, controlling a vehicle, computer use, and wherever else a model needs to understand a visual environment and then choose what to do next. FLUX 3 Action builds on the same image, video, and audio pretraining as FLUX 3, but uses a smaller architecture designed for practical deployment. In midtraining, we trained the model to predict actions and future frames together. We’re releasing the weights, code, fine-tuning recipe, benchmarks, and reproducible examples so researchers and developers can build on the model with their own robots, environments, and tasks (see below).

2026-09-22Tue
  1. NVIDIA — Robotics72

    NVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics Development

    NVIDIA Isaac ROS 5.0, released at ROSCon 2026, enhances open source robotics development with agentic workflows, GPU acceleration, and new skills for perception and manipulation. It supports ROS Lyrical and Ubuntu 24.04, enabling developers to build and deploy high-performance robotics applications using NVIDIA's accelerated computing and AI models.

2026-09-16Wed
  1. Robotics Update — UK and European industry68

    Universal Robots unveils next generation platform

    Universal Robots has launched Gen 7, its seventh-generation robotics platform, featuring a reengineered control box, teach pendant, and tool flange. The platform includes new g-Series robot arms, the CB7 Core controller, PolyScope X operating system, and TP7 teach pendant, all aimed at improving AI integration, safety, and ease of use in industrial automation.

2026-09-14Mon
  1. Universal Robots — Official announcements75

    Universal Robots unveils Gen 7, a new platform for industrial automation and physical AI deployment

    Universal Robots launched Gen 7, its seventh-generation robotics platform, featuring AI-ready hardware, a reengineered control box, and PolyScope X software. The platform aims to simplify AI deployment in industrial automation with enhanced safety, cybersecurity, and open architecture.

2026-09-10Thu
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2026-08-26Wed
2026-08-06Thu
  1. NVIDIA — Robotics68

    Into the Omniverse: How Open World Models Push the Frontier of Physical AI

    NVIDIA introduces Cosmos 3, an open-world model family for physical AI, combining vision reasoning, world generation, and action prediction. Available under the Linux Foundation’s OpenMDW 1.1 license, it enables post-training and adaptation for robotics, autonomous vehicles, and vision AI systems. The model ranks highly in benchmark evaluations and is part of NVIDIA’s broader physical AI stack.

2026-07-22Wed
  1. Robotiq — Blog72

    Tactile-Based Robot Centering as a Capability for Dexterous Manipulation

    This article explains how tactile sensing allows robots to detect and correct off-center grasps by analyzing force distribution across fingertips. It describes a demonstration using a 2F-85 gripper with TSF-85 tactile sensors, which repositions and regrasps objects to achieve a balanced grip. The method improves grasp stability and reduces the need for reorientation or regrasping.

  2. NVIDIA — Robotics75

    NVIDIA Open Sources First GPU-Accelerated Medical Physics Simulation Framework

    NVIDIA has released an open-source, GPU-accelerated Medical Physics Simulation framework as part of its Isaac for Healthcare platform. This tool enables developers to model anatomy-device interactions, generate complex scenarios, and train robot policies in simulation, significantly reducing development time and improving regulatory readiness.

2026-07-08Wed
2026-07-07Tue
  1. NVIDIA — Robotics68

    NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community

    NVIDIA and Hugging Face are releasing the NVIDIA Isaac GR00T 1.7 model and Isaac Teleop framework into LeRobot, an open-source robotics library, to provide developers with shared tools for training, evaluating, and deploying robot foundation models. NVIDIA Cosmos 3, a frontier world model for physical AI, is also set to be integrated soon.

2026-06-24Wed
  1. Unitree72

    Unitree says it supports BitRobot in open-sourcing HIW-500, a humanoid teleoperation dataset collected across 12 real homes in Southeast Asia. The quoted announcement reports 500+ hours, 23K+ episodes, 10+ TB and more than 10 household tasks. The post does not specify the time basis or license, or link to a downloadable artifact.

    Quoted postBitRobot 🦾@BitRobotNetwork

    1/ Introducing HIW-500 (Humanoids-in-the-Wild 500): the largest open-source humanoid teleop dataset collected in real homes Built w/ @UnitreeRobotics @huggingface across 12 homes in Southeast Asia, it covers: > 500+ hrs > 23K+ episodes > 10+ TB > 10+ household tasks

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