Lerobot
LeRobot is an open-source library developed by Hugging Face that provides pretrained models, datasets, and tools for robotics applications using PyTorch. It focuses on imitation learning and reinforcement learning to facilitate real-world robot control and data collection. The library includes simulation environments and supports Vision-Language-Action models for end-to-end robot control. LeRobot standardizes robotic learning data formats to enable sharing and reproducibility across projects. It integrates with affordable hardware platforms such as ROBOTIS OMX, Seeed Studio SO-ARM10x, and Trossen Robotics arms through forked repositories. The project is hosted primarily on GitHub and Hugging Face, with no standalone official website.
LeRobot is an open-source PyTorch-based library offering pretrained models, datasets, and tools for imitation and reinforcement learning in real-world robotics.
Robotics Research and Development
Researchers and developers use LeRobot to train and deploy imitation and reinforcement learning policies on real-world robots.
Affordable Robot Control
Users working with affordable robot hardware can leverage LeRobot's integration and pretrained models to accelerate development.
Simulation-Based Robotics Training
Users can begin robotics experiments in simulation environments before deploying on physical robots.
git clone https://github.com/huggingface/lerobot.git && cd lerobot to download the source code.pip install -e .. It is recommended to use a Conda environment for isolation.pip install -e '.[dynamixel]' or pip install -e '.[trossen_ai]'.lerobot-train --policy.type act --dataset.repo_id ... to train imitation or reinforcement learning policies.