Robots can improve their own performance through autonomous practice and skill refinement in simulation without updating model weights, then transfer successfully to real hardware—a practical path to reliable robot systems.
RPG is a framework that improves robot performance without retraining models by identifying skills from offline data, practicing in simulation with failure diagnosis, and refining symbolic skills and system prompts.