Google DeepMind is a game that can beat human opponents at table tennis robot developed. To make the robot compete at a human level, researchers artificial intelligence and used advanced simulations.

Google DeepMind’s latest work shows that artificial intelligence and robotic technologyPushing the boundaries of technology, he enabled a robot to beat humans at table tennis. While the robot managed to beat all novice human opponents, it achieved a 55% success rate against amateur players.

Google DeepMind Robot Fails to Recognize Opponents in Test Matches

The researchers applied a two-phase training method to make the robot successful in table tennis. First, computer simulations were used to improve the robot’s hitting ability. During this process, data such as ball position, speed and spin were carefully collected and the robot was trained in an environment that closely mimics the physical dynamics of table tennis. It won all matches against beginners in test matches. It had a 55% success rate against mid-level players. It won 45% of the total 29 matches.

Like this Google Deepmindshowed how robots can improve in sports. This robot, which shows full performance even in challenging games against its opponents, is already arousing curiosity about what artificial intelligence can do in the future.