unitreerobotics

    unitreerobotics/unitree_rl_lab

    This is a repository for reinforcement learning implementation for Unitree robots, based on IsaacLab.

    backend
    Python
    Apache-2.0
    1.4K stars
    347 forks
    1.4K GitHub watchers
    Updated Oct 31, 2026
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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 5 contributors on GitHub.

    Gained 31% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides reinforcement learning environments for Unitree robots using IsaacLab simulation framework.
    • Enables seamless training and deployment of RL policies across simulation and real Unitree robots with support for multiple robot models.
    • Use for developing and testing RL algorithms on Unitree Go2, H1, and G1-29dof robots in IsaacLab simulation.
    • Use for performing sim2sim validation of trained policies in Mujoco before real-world deployment.
    • Use for direct sim2real deployment to control physical Unitree robots after training and simulation validation.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present

    Watch-outs

    • No GitHub releases; pin a commit or tag instead of a release.

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    From the README

    This project provides a set of reinforcement learning environments for Unitree robots, built on top of IsaacLab.

    Currently supports Unitree Go2, H1 and G1-29dof robots.

    Method 1: Using USD Files

    Method 2: Using URDF Files [Recommended] Only for Isaacsim >= 5.0

    After the model training is completed, we need to perform sim2sim on the trained strategy in Mujoco to test the performance of the model. Then deploy sim2real.

    Excerpt from the unitreerobotics/unitree_rl_lab README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    347+43

    Open issues

    54+7

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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