How to Train a Cross-Embodiment Robot Navigation Policy with AI Agents | NVIDIA Technical Blog

This post introduces the COMPASS framework and an agent-driven workflow for training cross-embodiment robot navigation policies. It details the use of residual reinforcement learning to adapt a pre-trained X-Mobility policy to specific robots and environments, leveraging tools like NVIDIA Omniverse NuRec for scene reconstruction and simulation. The workflow includes automated environment validation, scene preparation, smoke testing, residual training, checkpoint evaluation, and runtime packaging, with human approval gates.