AI · GitHub repo
LeRobot
Open-source library for end-to-end machine learning in real-world robotics
LeRobot is Hugging Face's open-source library designed to make AI for robotics accessible through end-to-end learning. It provides standardized tools, pretrained models, datasets, and simulation environments to train and deploy neural network policies on physical robots.
What it's for
- Train imitation learning and reinforcement learning policies for robotic manipulators
- Collect and format real-world teleoperation datasets using standard Hugging Face tools
- Evaluate robotic control models in simulation benchmarks before deploying to hardware
- Deploy pretrained models onto low-cost desktop arms and humanoid robots
Features
- Pretrained models and policy implementations (e.g., ACT, Diffusion Policy)
- Standardized dataset format integrated directly with Hugging Face Hub
- Simulation environment support for bench testing and rapid iteration
- Hardware integration for affordable robot arms and components
- Docker support including community setups for NVIDIA Jetson platforms
Pricing
Open source. Free and open source (Apache 2.0)
Details
- Type
- GitHub repo
- Category
- AI
- Topic
- Robotics
- Open source
- Yes
- Platforms
- Linux, Code library, Command line
- For
- Robotics researchers, AI engineers, and hardware hobbyists
- Alternative to
- RoboMimic, ROS 2
- Tags
- robotics, machine learning, hugging face, open source, python, imitation learning
Why it was saved
- @5aitec: Democratizes robotics by providing standardized tools, pretrained models, datasets, and simulations for researchers and hobbyists.
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Updated