Researchers at Physical Intelligence have shown that a robot learning framework called Recap—combining demonstrations, coaching, and reinforcement from autonomous experience—can double throughput and halve failure rates on complex real‑world tasks. By conditioning a vision‑language‑action (VLA) policy on a learned value function, the system corrects compounding errors that plague imitation‑only approaches.