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State-of-the-art Machine Learning for real-world robotics

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LeRobot

Open-source AI for real-world robots

LeRobot is Hugging Face's library for teaching robots by example. Guide a robot through a task a few times and it learns to do it on its own, from 3D-printed arms to full humanoids.

Recording demonstrations by teleoperation
Recording demonstrations by teleoperation
Leader and follower arms
Bimanual SO-ARM101 setup
The SO-101 arm
Unitree G1 controlled by LeRobot

How it works

Robots learn from your demonstrations, the same four steps on every robot.

1Teleoperate

Move the robot yourself with a leader arm, phone, or gamepad.

2Record

Each run is saved as a dataset: camera video plus every movement.

3Train

Train a model that controls the robot. Use your own GPU or the cloud.

4Deploy

Run it on the robot and watch it work on its own.

Start here

With a robot
  1. Install LeRobot.
    pip install lerobot
    Installation guide
  2. Assemble and calibrate your arm. New to this? Start with the SO-101, the 3D-printed arm most people begin with.SO-101 guide
  3. Record about 50 demonstrations, train a policy, and run it.Imitation learning tutorial · Cheat sheet
Without a robot
  1. Play back community recordings in your browser.Datasets · Visualizer
  2. Train a policy on one of them in a free notebook.Notebooks
  3. Test it in simulation, no hardware needed.Simulation
  4. New to robot learning? Take the free course.Robot Learning Tutorial

Works with your robot

The same commands drive every supported robot.

Supported robots

SO-101, LeKiwi, Koch v1.1, Reachy 2, Unitree G1 and more, driven by leader arms, gamepads, or your phone.

All robots and teleoperators
Community plugins

The community maintains plugins for UFACTORY xArm, Franka, AgileX Piper, GELLO and more. Each is one pip install.

Browse plugins · Write your own
LeLab

Rather click than type? LeLab is the GUI for LeRobot that runs the whole workflow in a browser tab. SO-101 for now.

Open LeLab · Guide