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MuJoCo – Advanced Physics Simulation

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Why This Matters

MuJoCo is a high-performance physics engine designed to advance research and development in robotics, biomechanics, and machine learning by providing fast, accurate simulations of articulated structures. Its versatile API, visualization tools, and integrations with Python and Unity make it a valuable resource for developers and researchers seeking to model complex physical interactions.

Key Takeaways

MuJoCo stands for Multi-Joint dynamics with Contact. It is a general purpose physics engine that aims to facilitate research and development in robotics, biomechanics, graphics and animation, machine learning, and other areas which demand fast and accurate simulation of articulated structures interacting with their environment.

This repository is maintained by Google DeepMind.

MuJoCo has a C API and is intended for researchers and developers. The runtime simulation module is tuned to maximize performance and operates on low-level data structures that are preallocated by the built-in XML compiler. The library includes interactive visualization with a native GUI, rendered in OpenGL. MuJoCo further exposes a large number of utility functions for computing physics-related quantities.

We also provide Python bindings and a plug-in for the Unity game engine.

Documentation

MuJoCo's documentation can be found at mujoco.readthedocs.io. Upcoming features due for the next release can be found in the changelog in the "latest" branch.

Getting Started

There are two easy ways to get started with MuJoCo:

Run simulate on your machine. This video shows a screen capture of simulate , MuJoCo's native interactive viewer. Follow the steps described in the Getting Started section of the documentation to get simulate running on your machine. Explore our online IPython notebooks. If you are a Python user, you might want to start with our tutorial notebooks running on Google Colab:

The introductory tutorial teaches MuJoCo basics:

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