Sony AI desk tennis robotic outplays elite human gamers

Ace rotates its paddle because it prepares to return the ball again to its human opponent, Yamato Kawamata, throughout a match in December 2025. Credit score: Sony AI.

In an article revealed at the moment in Nature, Sony AI introduce Ace, the primary robotic to beat elite human gamers in aggressive bodily sport.

Though AI methods have proven superior efficiency in digital domains and board video games (equivalent to complicated video video games, chess and Go), translating this to bodily efficiency has remained a major problem. Such a feat requires notion, planning, and management to work in a high-speed area on the size of milliseconds. Desk tennis is a demanding and complicated real-world take a look at for robotics, requiring fast decision-making, exact bodily execution, and steady adaptation to an unpredictable opponent. The ball’s excessive velocity, spin, and complicated trajectories are central to aggressive play.

Director of Sony AI in Zürich, and venture lead for Ace, Peter Dürr mentioned “this analysis has proven that an autonomous robotic can, in truth, win at a aggressive sport, matching or exceeding the response time and choice making of people in a bodily house. Desk tennis is a sport of monumental complexity that requires split-second choices in addition to velocity and energy. This analysis breakthrough highlights the potential of bodily AI brokers to carry out real-time interactive duties, and represents a major step towards creating robots with broader functions in quick, exact, and real-time human interactions.”

An entire view of desk tennis robotic, Ace, together with arm and observe. Credit score: Sony AI.

What new elements does Ace incorporate?

Ace combines event-based imaginative and prescient sensors and a management system primarily based on model-free reinforcement studying, in addition to state-of-the-art high-speed robotic {hardware}. Ace was designed with three novel elements:

• A excessive velocity notion system composed of 9 energetic pixel sensor cameras to find out the ball’s exact 3D place, mixed with three gaze management methods that use event-based imaginative and prescient sensor cameras, pan/tilt mirrors, and telephoto tunable lens to measure the ball’s angular velocity and spin in actual time.
• A novel management system primarily based on model-free reinforcement studying to allow fast adaptation and decision-making with out reliance on pre-programmed fashions.
• Excessive-speed robotic {hardware} able to executing exact, high-speed management for agile bodily interplay.

Members of the Ace analysis crew and desk tennis officers pose with the robotic and its human opponent, Mayuka Taira, following an official match in December 2025.

From Determine 4 within the Nature manuscript “Outplaying elite desk tennis gamers with an autonomous robotic” this movie exhibits the robotic making a break up part change to its trajectory when the ball hits the online. Credit score: Sony AI and Nature.

Testing Ace towards elite gamers

For the outcomes reported within the Nature publication, Ace was evaluated in matches towards 5 elite gamers and two skilled desk tennis gamers, below Worldwide Desk Tennis Federation (ITTF) laws. Ace achieved three victories in 5 matches towards the elite gamers, together with aggressive performances within the remaining matches.

There have been some fascinating outcomes from the evaluations, together with the truth that Ace was capable of return a variety of spins, persistently attaining over 75% return fee as much as spins of 450 rad/s. The management methods behind Ace additionally allowed for fast response to uncommon photographs, equivalent to balls bouncing off the online. This conduct illustrates the flexibility of the strategy to generalize to conditions which might be each uncommon and onerous to mannequin in simulation.

Following submission of the Nature manuscript, the crew carried out further aggressive matches in December 2025 and March 2026, beating skilled gamers within the course of. In contrast with earlier evaluations, Ace demonstrated increased shot speeds, extra aggressive placement nearer to the desk edge, and faster-paced rallies, reflecting continued efficiency positive aspects below aggressive situations.

Discover out extra in regards to the venture on this video from Sony AI.