Humans: 0, Robot: 1 – Sony’s Project Ace Robot Beats the Pros
Developed by Sony AI, a new robot named Ace has outperformed elite table tennis players, marking a significant milestone in AI and robotics. While AI systems have previously rivalled or surpassed human experts in computer-based games, physical sports present a far greater challenge. In particular, table tennis demands split-second reactions, precise motor control and constant adaptation to an opponent’s strategy. These are capabilities that have been traditionally difficult for machines to master.
Although ping pong playing robots have existed since 1983, this achievement marks a turning point. Known as Project Ace, the robot competed against highly skilled players under standard International Table Tennis Federation rules, with no special equipment or constraints. Matches were judged by licensed umpires from the Japanese Table Tennis Association, ensuring fair play and equal enforcement of the rules for both humans and the robot. Under these conditions, Ace successfully won matches against top-level competitors.
Ace’s performance is powered by three core components: a perception system to ‘see’ and track the ball in real time; an AI ‘brain’ trained through deep reinforcement learning, enabling it to learn from experience rather than rely on pre-programmed moves; and high-speed robotic hardware, including an agile, eight-jointed arm capable of executing precise decisions of where and how to place the paddle and ball.
The goal of Project Ace extends beyond sport, aiming to advance our understanding of how robots can perceive their surroundings, make decisions and act with human-like speed and precision in fast-changing, real-world environments.
Author: Jenna Principe, 2025/26 Articling Student-at-Law
Photo Credit: https://unsplash.com/@csbphotography
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Humans: 0, Robot: 1 – Sony’s Project Ace Robot Beats the Pros
Developed by Sony AI, a new robot named Ace has outperformed elite table tennis players, marking a significant milestone in AI and robotics. While AI systems have previously rivalled or surpassed…