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Sony AI’s autonomous robot “Ace” has achieved what researchers describe as the first instance of expert-level play by a machine in a commonly played physical sport.
A study published in Nature on April 22, 2026, and accompanying demonstrations in Tokyo show Ace—an eight-jointed robotic arm with a network of high-speed vision systems including event-based sensors, nine synchronized cameras and three gaze systems—using model-free reinforcement learning to track spin, react in milliseconds and execute competitive shots under International Table Tennis Federation rules.
In April 2025 Ace won three of five matches against elite human players; it initially lost to two professional players but later beat professional opponents in December 2025 and in early 2026.
Tests were held on a full-size court with licensed umpires.
The system returned a high proportion of high-spin shots, scored multiple direct points on serve and sometimes executed maneuvers human players had not expected.
Authors and Sony AI say the architecture demonstrates that simulated learning can transfer to fast, precise, real-world interaction tasks and point to broader applications in manufacturing, service robotics and other time-critical domains.







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