RATs Framework Enables Robots to Self-Direct Skill Learning Before Tasks

Playful Agentic Robot Learning introduces RATs (Robotics Agent Teams), where a coding agent autonomously proposes and executes exploratory tasks during idle time, distilling successful runs into a reusable code skill library. At inference, the agent retrieves relevant pre-built skills rather than learning from scratch, improving downstream task performance without explicit instruction.