Sony Ace Robot Defeats Elite Table Tennis Players - 20ms Latency and 9000 RPM Spin Tracking

Sony Ace Robot Defeats Elite Table Tennis Players - 20ms Latency and 9000 RPM Spin Tracking

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Sony Ace Robot Defeats Elite Table Tennis Players - 20ms Latency and 9000 RPM Spin Tracking

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Summary Report

Sony AI's 'Ace' robot beat elite table tennis players in real matches, clocking 20ms reaction times and tracking spin above 9,000 rpm with event-based vision.

  • 01. Sony AI published Project Ace in Nature on April 23, 2026.
  • 02. Ace won 3 of 5 matches against elite players with 10+ years of experience.
  • 03. Against T-League professionals, Ace took games in initial tests and defeated multiple pros in later rounds.
  • 04. End-to-end latency is 20.2 milliseconds vs ~230 for elite humans.
  • 05. Three event-based vision sensors track ball spin exceeding 9,000 rpm with sub-millisecond precision.
Sony AI has achieved a significant breakthrough in robotics with Project Ace, a fully autonomous table tennis system that defeated elite human players in competitive matches. Published in Nature, the research demonstrates the robot's ability to outperform players with over a decade of experience and twenty hours of weekly training, winning three of five matches against elite competitors. The robot's competitive advantage lies in its exceptional speed and precision. With an end-to-end latency of just 20.2 milliseconds—more than ten times faster than the typical 230ms human response—the system can react and respond with unprecedented quickness. Three event-based vision sensors provide sub-millisecond ball tracking accuracy, capable of detecting spin rates exceeding 9,000 revolutions per minute. Project Ace represents a crucial advancement in real-world robotics applications. Unlike controlled laboratory environments, competitive sport demands instantaneous perception, planning, and execution without opportunities for correction. The system's success against professional T-League players, including outright victories in later rounds, validates its ability to operate effectively in dynamic, high-pressure scenarios. The achievement has impressed even seasoned professionals, with a former Olympic player describing the robot's underspin serve as "impossible." This milestone demonstrates that AI systems can now compete with human experts in complex physical tasks requiring split-second decision-making and precise motor control.