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LeRobot

  • Software
  • Humanoids and robot learning
  • Framework
  • Runs on hardware you can build

LeRobot is a PyTorch library of models, datasets, and tools for real-world robotics, aiming to lower the barrier to entry for shared datasets and pretrained models.

Source on GitHub: github.com/huggingface/lerobot (opens in a new tab). Facts read at commit 146d847 (opens in a new tab).

Licenses

Code
Apache-2.0 (opens in a new tab)

Read by Robotheca from LICENSE (opens in a new tab) (Apache-2.0) at commit 146d847 (opens in a new tab), on 16 Oct 2026.

Commercial use
Yes

What it does

  • Provides a hardware-agnostic Python Robot interface that standardizes control across platforms from low-cost arms to humanoids.
  • Defines the LeRobotDataset format (Parquet plus MP4 or images) hosted on the Hugging Face Hub for storing and streaming robot data.
  • Implements imitation learning, reinforcement learning, vision-language-action, world model, and reward model policies in PyTorch.
  • Offers a unified evaluation script that runs policies in simulation benchmarks such as LIBERO and MetaWorld or on real hardware.
  • Supports a range of robots and teleoperation devices natively, and can be extended with custom robots or third-party plugins.
  • Includes tools to record, train, visualize and share models and datasets via the Hugging Face Hub.

Written by Robotheca from the project's README (opens in a new tab) at commit 146d847.

Getting started

Difficulty
Intermediate

Maintenance

Status
Active: a commit in the last 90 days
Newest commit
16 Oct 2026 on main
Latest release
Release v0.6.1 (3 Aug 2026)

Checked on GitHub on 16 Oct 2026.

Links

Robots on Robotheca that use it

No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.

Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.