Legged robots skateboard successfully with reinforcement learning framework

Legged robots skateboard successfully with reinforcement learning framework

Legged robots, which are often inspired by animals and insects, could help humans to complete various real-world tasks, for instance delivering parcels or monitoring specific environments. In recent years, computer scientists have created algorithms that allow these robots to walk at different speeds, jump, emulate some of the movements of animals and move with great agility.
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