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mujoco-py is a Python wrapper for MuJoCo, a high-performance physics engine widely used in robotics, reinforcement learning, and AI research. It allows developers and researchers to run detailed rigid body simulations with contacts directly from Python, making MuJoCo easier to integrate into machine learning workflows. The library is compatible with MuJoCo version 2.1 and supports Linux and macOS, while Windows support has been deprecated. It provides utilities for loading models, running simulations, and accessing simulation states in real time, along with visualization tools for rendering environments. The project also includes interactive examples showcasing collision handling, texture randomization, state resetting, and robot control. By bridging MuJoCo with Python, mujoco-py enables rapid prototyping, training, and evaluation of AI agents in physics-rich environments.
Features
- Python bindings for the MuJoCo physics engine
- Supports simulation of rigid body dynamics with contacts
- Includes tools for model loading, rendering, and state management
- Provides advanced examples for robotics and reinforcement learning use cases
- Compatible with MuJoCo version 2.1 on Linux and macOS
- Offers visualization utilities for debugging and experimentation
Project Samples
