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

Though AI programs have proven superior efficiency in digital domains and board video games (resembling advanced 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 check for robotics, requiring speedy 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 challenge lead for Ace, Peter Dürr stated “this analysis has proven that an autonomous robotic can, in truth, win at a aggressive sport, matching or exceeding the response time and resolution making of people in a bodily house. Desk tennis is a sport of monumental complexity that requires split-second selections 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 purposes in quick, exact, and real-time human interactions.”

An entire view of desk tennis robotic, Ace, together with arm and monitor. 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 programs 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 speedy 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 workforce 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 reveals the robotic making a cut 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) rules. 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 in a position to return a variety of spins, persistently reaching over 75% return price as much as spins of 450 rad/s. The management programs behind Ace additionally allowed for fast response to uncommon photographs, resembling balls bouncing off the online. This habits illustrates the power of the method to generalize to conditions which can be each uncommon and exhausting to mannequin in simulation.

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

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