Researchers have developed a robot that learns to play ping-pong from humans and improves as it competes against them.
Katharina Muelling and her team at the Technical University of Darmstadt suspended a robotic arm from the ceiling and equipped it with a camera that watches the playing area. The arm was physically guided by Muelling through different shots to return incoming balls. The arm was then left to draw on its training to return balls hit by a human opponet, New Scientist reported.
When the ball was in a position it had not seen before, the arm used its library of shots to improvise new ones. After an hour of unassisted practice, the system successfully returned 88 per cent of shots.
Other robots have played table tennis in the past, but none have used human demonstartion to learn. Ales Ude of the Jozef Stefan Institute says that doing so allows robots to play more like people.
Katharina Muelling and her team at the Technical University of Darmstadt suspended a robotic arm from the ceiling and equipped it with a camera that watches the playing area. The arm was physically guided by Muelling through different shots to return incoming balls. The arm was then left to draw on its training to return balls hit by a human opponet, New Scientist reported.
When the ball was in a position it had not seen before, the arm used its library of shots to improvise new ones. After an hour of unassisted practice, the system successfully returned 88 per cent of shots.
Other robots have played table tennis in the past, but none have used human demonstartion to learn. Ales Ude of the Jozef Stefan Institute says that doing so allows robots to play more like people.
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