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Ping Pong Robot Uses Agentic AI to Beat Expert Human Players

Bloomberg Technology
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Sony AI researchers unveiled a table tennis robot named "Ace" that defeats expert human players, marking a breakthrough in AI-driven physical competition. The system integrates high-speed vision sensors, model-free reinforcement learning, and robotic hardware to autonomously track and return balls with precision. Ace’s crane-like lever and attached paddle execute real-time shot selection, adapting techniques mid-play to outmaneuver opponents. This advancement demonstrates agentic AI’s ability to master complex, dynamic tasks requiring split-second decision-making and physical coordination. The development underscores AI’s growing capability to surpass human performance in domains demanding both cognitive and motor skills.
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Ping Pong Robot Uses Agentic AI to Beat Expert Human Players

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Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers business and financial information, news and insight around the worldAmericas+1 212 318 2000EMEA+44 20 7330 7500Asia Pacific+65 6212 1000Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers business and financial information, news and insight around the worldAmericas+1 212 318 2000EMEA+44 20 7330 7500Asia Pacific+65 6212 1000Scientists at Sony AI have developed a table tennis robot with enough speed and precision to beat even some expert ping pong players in the latest matchup between biological and artificial intelligence.The robot, dubbed “Ace,” combines vision sensors, model-free reinforcement learning and high-speed robotic hardware in a crane-like lever with a ping pong bat attached. The resulting system can autonomously locate a ping pong ball in space, determine the correct technique needed to return it to an opponent’s side and repeat the process until a play is over.

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Source: Bloomberg Technology