Software
unitree_lerobot
By Unitree Robotics, China (checked on github.com/unitreerobotics (opens in a new tab)), from github.com/unitreerobotics/unitree_lerobot (opens in a new tab)
- Humanoids and robot learning
- Framework
- Apache-2.0
A toolkit for training and testing LeRobot policies on Unitree robots, covering dataset conversion, data editing, model training, and real-world or simulated evaluation.
Facts
- GitHub stars
- 785read on 6 Nov 2026
- Last update
- 25 May 2026Newest commit on main
- Maintenance
- Maintaineda commit in the last 12 months
- Difficulty
- Intermediate
Checked on GitHub on 6 Nov 2026.
Licenses
- Code
- Apache-2.0 (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) at commit 41c2805 (opens in a new tab), on 16 Oct 2026. A license text Robotheca's reader does not know: a person at Robotheca set it on 9 Nov 2026.
- Commercial use
- Yes
Overview
What it does: Robotheca's summary
- Loads and visualizes LeRobot datasets, including a published G1 Dex3 dataset from Hugging Face.
- Provides a PyQt5 data editor for trimming episodes and deleting bad ones.
- Converts Unitree JSON recordings into the LeRobot dataset format, with several robot type presets.
- Trains ACT, Diffusion, Pi0, Pi05 and Gr00t policies using the LeRobot training scripts.
- Runs trained policies on a real G1 robot or in the unitree_sim_isaaclab simulator, with optional visualization.
- Replays recorded datasets on the robot to validate behavior.
Written by Robotheca from the project's README (opens in a new tab) at commit 41c2805, not by its creator.
The README
Files and versions
- Repository on GitHubgithub.com/unitreerobotics/unitree_lerobot (opens in a new tab)
- The version Robotheca read41c2805 (opens in a new tab)
- Latest releaseupdate dataset v30 and support pi0.5 gr00t policy (19 Nov 2025)
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Use it
How to install it, in the creator's words: The project's README (opens in a new tab)
Robotheca doesn't review code. Read it before running it.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.