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  1. Hugging Face LeRobot82

    LeRobot v0.6.0 released with multiple breaking changes and new policies

    Hugging Face LeRobot has released v0.6.0: pip install lerobot no longer includes dataset and training dependencies by default, requiring extras to be added as needed; GR00T N1.5 has been replaced by N1.7; and the minimum PyTorch version has been raised to 2.7.

    Why it matters: The release notes list specific breaking changes and migration methods, so developers in the middle of upgrading can use them to check their installation, configuration, and training workflows.

Jul 2Thu
  1. Pollen Robotics · YouTube37

    Reachy Mini can now talk and collaborate with you

    Reachy Mini, a collaboration between Pollen Robotics and Hugging Face, features the Conversation App, enabling fluent conversation, to-do list management, task reminders, and discussions about music. The robot has long-term memory across sessions and vision capabilities, allowing it to recognize what users show it. It is aimed at home AI companionship, and purchases can be made at reachy-mini.ai.

May 27Wed
  1. Ars Technica79

    Hugging Face launches LeRobot Humanoid 3D-printed bipedal robot platform at about $2,500

    Hugging Face has released the LeRobot Humanoid full-stack project, with a pair of humanoid robot legs priced at $2,500, built from 3D-printed parts and off-the-shelf components. The release includes a bill of materials, 3D printing files, wiring documentation, assembly instructions, and software tools for calibrating and controlling the robot both on the physical body and in simulation.

    Why it matters: The original text explains the hardware cost, the open materials, and the simulation-to-real design loop, which can be used to assess the impact of a low-cost humanoid platform on research workflows.

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  1. Hugging Face LeRobot36

    LeRobot v0.4.1 released

    Hugging Face's robot learning library LeRobot has released v0.4.1, an upgrade from v0.4.0. Key updates include adding EnvHub support for loading environments from the hub, adding libero to the pypi package, fixing a training data access bottleneck to speed up training, and fixing a critical bug in dataset_tools. This version also includes a video_key spelling fix, dependency upgrades, and installation documentation updates.