The Ace robot competes with elite human players in high-speed table tennis. It uses a deep reinforcement learning framework to master complex, interactive physics in real time. This achievement proves autonomous systems can handle rapid sensory-motor loops. Practitioners can now apply these low-latency control strategies to other high-speed robotic tasks.