Ping-Pong Robot Makes History By Beating Top-Level Human Players (reuters.com) 29
Sony AI's autonomous table-tennis robot Ace has become the first robot to compete against top-level human players. Reuters reports: Ace, created by the Japanese company Sony's AI research division, is the first robot to attain expert-level performance in a competitive physical sport, one that requires rapid decisions and precision execution, the project's leader said. Ace did so by employing high-speed perception, AI-based control and a state-of-the-art robotic system. There have been various ping-pong-playing robots since 1983, but until now they were unable to rival highly skilled human competitors. Ace changed that with its performances against human elite-level and professional players in matches following the rules of the International Table Tennis Federation, the sport's governing body, and officiated by licensed umpires.
The project's goal was not only to compete at table tennis but to develop insights into how robots can perceive, plan and act with human-like speed and precision in dynamic environments. In matches detailed in the study, Ace in April 2025 won three out of five versus elite players and lost two matches against professional players, the top skill level in the sport. Sony AI said that since then Ace beat professional players in December 2025 and last month. "The success of Ace, with its perception system and learning-based control algorithm, suggests that similar techniques could be applied to other areas requiring fast, real-time control and human interaction -- such as manufacturing and service robotics, as well as applications across sports, entertainment and safety-critical physical domains," said Peter Durr, director of Sony AI Zurich and leader for Sony AI's project Ace.
The findings have been published in the journal Nature.
The project's goal was not only to compete at table tennis but to develop insights into how robots can perceive, plan and act with human-like speed and precision in dynamic environments. In matches detailed in the study, Ace in April 2025 won three out of five versus elite players and lost two matches against professional players, the top skill level in the sport. Sony AI said that since then Ace beat professional players in December 2025 and last month. "The success of Ace, with its perception system and learning-based control algorithm, suggests that similar techniques could be applied to other areas requiring fast, real-time control and human interaction -- such as manufacturing and service robotics, as well as applications across sports, entertainment and safety-critical physical domains," said Peter Durr, director of Sony AI Zurich and leader for Sony AI's project Ace.
The findings have been published in the journal Nature.
Wii (Score:2)
Ping pong is our national sport in China (Score:1)
But now AI has to ruin our national sport as well. I play ping pong since I was 3 years old and my Chinese mother showed me how to play. AI ruins everything just get rid of it all at once if you are able of critical thinking mark my words
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Re:Ping pong is our national sport in China (Score:5, Interesting)
I once drove a marathon in 30 minutes in my car. I understand several top-level runners quit the sport in disgust following my achievement.
Re: Ping pong is our national sport in China (Score:1)
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The smell was a problem.
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Exactly!
The US trademark for "Ping-Pong" is still actively owned today by Escalade Sports, and they still enforce it.
Run Forrest... (Score:4, Funny)
So between this robot, and the robot that recently set a record half-marathon time, does this mean we can now build an android Forrest Gump?
Re:Run Forrest... (Score:4, Funny)
So between this robot, and the robot that recently set a record half-marathon time, does this mean we can now build an android Forrest Gump?
There are a couple problems.
(1) The research into making humanoid bots monsoon rain proof is barely started.
(2) The research into making a chocolate powered humanoid bot hasn't even started yet.
Not that great an achievement (Score:1)
I just invented an AI that wins every point. On AI's serve, the ball is shot out of a gun at a speed that is impossible to return. When it's human's turn, AI switches on a gigantic fan so that human can't get the ball over the net.
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Maybe you should first invent an AI that teaches you the rules of ping pong?
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Oh blimey .. I guess it's football not soccer?
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Using guns and fans is forbidden by the law of table tennis. You would have to make a robot that uses paddle to hit the ball. When doing that, you have physics against you, so at most you might get something like 100 m/s speed for the ball. Faster than that and ball gets crused. With that speed it would be hard to return, but not impossible (it is about 3 times the speed humans can produce). The ball loses speed quickly, so standing behind the table might do the trick.
Any videos? (Score:1)
Re:Any videos? (Score:4, Informative)
If only there was some way to get at this sort of information, some article containing it.
Ace's architecture integrates nine synchronized cameras and three vision systems to track a spinning ball with exceptional accuracy and speedy processing time.
"This is fast enough to capture motion that would be a blur to the human eye," Dürr said.
Re:Any videos? (Score:5, Funny)
"This is fast enough to capture motion that would be a blur to the human eye," Dürr said.
I didn't know one of Elon Musk's kids was involved with this.
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This shows how current robots and "AI" are a long way from being general systems. They need nine cameras and algorithmic processing to do this, where as even a relatively simple brain like a cat can do it with two eyes.
Which is not to say that it isn't impressive or useful. Specialist robots could use this for some interesting stuff.
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So Python can produce servo-motors? Amazing!!
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But the cameras need to be able to move very quickly, change focus quickly, and have high resolutions images processed quickly. I think giving the robot the advantage of a few more cameras when it cannot have cameras evolved over millions of years is a good compromise.
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Drones (Score:2)
Or maybe nobody has tried very hard to play ping pong until now. The Ukrainians can shoot down hundreds of drones and missiles per day. Those things move at hundreds of miles per hour and are programmed to actively avoid interception. I'm sure if the Ukrainians didn't have more pressing matters at hand they could deflect a single ping pong ball that follows Newtonian laws.
machines (Score:2)
Unreadable adversary? (Score:2)
Playing against an adversary involves studying its weaknesses. We humans are just too slow. The next phase would be other robotics company building a contender. Can't wait.
This is the start of a trend (Score:2)
Except... (Score:2)