Sony's Ace Robot Masters Table Tennis, Signaling Leap in Physical AI

Daily Technology

23/04/2026

Sony has unveiled Project Ace, an autonomous robot demonstrating remarkable prowess in table tennis, capable of competing against professional players. This development marks a significant milestone in physical artificial intelligence, showcasing AI's ability to achieve expert-level performance in complex, real-world physical activities.

Key Takeaways

Sony's Project Ace robot can compete at a professional table tennis level.
The robot utilizes advanced sensory technology, reinforcement learning, and precision hardware.
Ace has demonstrated success against elite players, winning multiple matches.
This advancement signifies a new era for physical AI applications.

A New Challenger in Table Tennis

Sony's Project Ace represents a significant leap forward in the field of physical AI. The robot is designed to autonomously play table tennis, a sport renowned for its complexity, demanding split-second decisions, speed, and power. Peter Dürr, director of Sony AI and project lead for Ace, highlighted the game's intricate nature in a press release.

Technological Innovations Behind Ace

The robot's capabilities are powered by a sophisticated combination of advanced sensory technology, reinforcement learning, and high-precision hardware. Ace is equipped with nine active pixel-sensor cameras that enable it to accurately determine the ball's position in three-dimensional space. Additional cameras and systems are integrated to measure the ball's velocity and spin, crucial for anticipating its trajectory.

Beyond its visual perception, Ace features a control system based on model-free reinforcement learning. This allows the AI to adapt and make decisions dynamically without relying on a pre-programmed model, enabling it to learn and improve its gameplay in real-time. This intelligent control system is paired with high-speed robotic hardware, making Ace a remarkable fusion of art and engineering.

Performance and Future Implications

In rigorous testing, Ace competed against five elite and two professional-level table tennis players. The robot emerged victorious in three out of five matches against the elite players and demonstrated a strong offensive capability by scoring sixteen direct points during serves compared to the elite players' eight.

According to Peter Stone, chief scientist at Sony AI, Ace is more than just a proof of concept. It offers a glimpse into the future potential of physical AI. Stone stated that AI operating at an expert human level in such demanding conditions opens the door to a wide array of new real-world applications that were previously considered unattainable.

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