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MuJoCo, developed and maintained by Google DeepMind, is a high-performance physics engine designed for simulating complex, articulated systems that interact through contact. It is widely used in research fields such as robotics, biomechanics, computer graphics, animation, and machine learning, where fast and accurate physics simulations are essential. The engine provides a robust C API optimized for real-time computation, making it suitable for scientific research and advanced simulation environments. MuJoCo’s core architecture is performance-tuned and utilizes preallocated data structures created through an XML-based compiler. The platform includes built-in interactive visualization using OpenGL and a native graphical interface for analyzing and testing simulations. Additionally, it offers extensive utility functions for physics computation, Python bindings for developers, and a Unity plug-in to enable integration with game engines and visualization tools.
Features
- High-performance physics simulation for articulated and contact-rich systems
- C API designed for research-level control and optimization
- Built-in visualization and GUI using OpenGL for real-time analysis
- Python bindings and Unity plug-in for extended integration and development flexibility
- Support for multiple operating systems with prebuilt binaries for easy installation
- Broad language support through community and first-party bindings (Python, C#, MATLAB, Java, Julia, etc.)
Project Samples
