# 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.

Website: https://github.com/huggingface/lerobot

## What it is 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](https://xiry.app/topics/ai.md)
- 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, 9 June 2025](https://www.instagram.com/reel/DKqx-r2TmSV/): Democratizes robotics by providing standardized tools, pretrained models, datasets, and simulations for researchers and hobbyists.

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Updated 3 October 2026. Page: https://xiry.app/resources/lerobot

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