Multi-Joint dynamics with Contact. A general purpose physics simulator.
MuJoCo simulates contact-rich dynamics fast and accurately. DeepMind open-sourced it, and it is now the default for reinforcement learning on robots.
pip install mujoco
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeMulti-Joint dynamics with Contact. A general purpose physics simulator.
mujoco has 14.2k stars on GitHub. It has been forked 1.6k times. mujoco is written mainly in C++. It has been in active development since 2021. mujoco is available under the Apache-2.0 license. Its main topics are mujoco, physics, robotics.
Read the full guideMulti-Joint dynamics with Contact. A general purpose physics simulator.
mujoco is an open-source project. It is released under the Apache-2.0 license.
Yes. mujoco is free and open source — you can use, modify and self-host it.
mujoco is available under the Apache-2.0 license.
mujoco is written mainly in C++.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/google-deepmind-mujoco.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.