RoboRSI: Stable, efficient, and reusable robot self-evolution in complex real-world environments
RoboRSI is a robot self-improvement system designed to turn execution experience into reusable capabilities for generalist robots. It uses Top-Down Skill Refinement and a multi-agent system where four agents—Manager, Planner, Engineer, and Reviewer—coordinate task decomposition, planning, execution, diagnosis, and skill revision. This framework enables stable skill sequences and learning from real-world interaction.