How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows

This blog post provides a comprehensive tutorial on leveraging NVIDIA Warp and MjWarp for robotics simulation and learning. NVIDIA Warp is a high-performance physics simulation framework supporting rigid body dynamics, soft body simulation, and contact mechanics. MjWarp serves as a bridge between MuJoCo physics simulator and the Warp framework, enabling seamless integration of different physics engines. The tutorial covers practical workflows for accelerating robotics research through GPU-accelerated physics simulations combined with machine learning training pipelines.