Researchers at ETH Zürich have taught ANYmal-D, a four-legged manipulator robot, to play badminton against humans. The system uses a reinforcement-learning controller that integrates vision, locomotion, and arm manipulation to intercept and return shots. While the robot isn’t yet at human-competitive level, the work demonstrates how sport can serve as a proxy task for developing robots with dynamic perception-motion coordination—a capability relevant for applications such as search and rescue or
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Researchers at ETH Zürich have taught ANYmal-D, a four-legged manipulator robot, to play badminton against humans. The system uses a reinforcement-learning controller that
Wevolver.com. . Researchers at ETH Zürich have taught ANYmal-D, a four-legged manipulator robot, to play badminton against humans. The system uses a reinforcement-learning controller that integrates vision, locomotion, and arm manipulation to intercept and return shots. While the robot isn’t yet at human-competitive level, the work ...
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