""There's no way to program a robot by hand to play table tennis. You have to learn how to play from experience," said Sony AI researcher Peter Dürr."
""Speed is really one of the fundamental issues in robotics today, especially in scenarios or environments that are not fixed," said Michael Spranger, president of Sony AI."
""We see a lot of robots that are in factories that are very, very fast. But they're doing the same tasks repeatedly, unlike Ace in a dynamic sport environment.""
Sony's robot Ace has demonstrated exceptional table tennis skills, challenging and sometimes defeating elite human players. Equipped with nine cameras, Ace tracks the ball's spin and learned the game through reinforcement learning. The robot was tested on an Olympic-sized court, providing a fair competition environment. Sony claims this achievement marks the first instance of a robot reaching expert-level play in a common competitive sport, highlighting significant progress in AI and robotics.
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