Table tennis

Sony's table tennis robot, Ace, built using AI and reinforcement learning, has challenged and sometimes defeated elite human players, marking a milestone in robotics. The robot uses nine cameras and adaptive movements to achieve expert-level play in a physical competitive sport.

A ping pong robot achieved wins against three elite players in a competition but failed to defeat top professional athletes. The robot's performance highlights advancements in robotics but underscores the gap against elite human skills.

An AI-powered robot named Ace, developed by Sony AI, achieved a milestone by defeating elite table tennis players in three out of five matches under official rules. However, it lost to professional players in two matches, managing to win only one game in those contests.

A Nature article reports that an AI-powered robotic arm has learned to play table tennis from scratch and can now defeat top human players. The technology, published on April 22, 2026, demonstrates advanced machine learning capabilities in sports.

An autonomous robot system named Ace, combining event-based vision and reinforcement learning, successfully competes with elite human table tennis players. The system demonstrates the potential of physical AI agents to handle complex, real-time interactive tasks.

Ace, an AI-controlled table-tennis robot developed by Nature, can compete with elite human players in complex, fast-paced matches, demonstrating advancements in autonomous systems.