Xuanbin Peng, and his colleagues at the University of California, San Diego, have developed the AI-powered ExBody2 humanoid robot system that allows it to copy and smoothly perform many different human movements in more lifelike ways. In this case, the robot learned how to waltz.
Teaching the robot how to waltz involved using reinforcement learning, where an AI is given an example of what a successful movement consists of and then tasked with figuring out how to do it itself by trial and error. The ExBody2 AI was given complete access to all the data on this virtual robot, such as coordinates of each joint, so it could mimic the human actions as closely as possible.
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Since humanoid robots share a similar physical structure with us, it makes sense to take advantage of the vast amounts of human motion data already available. By learning to mimic this kind of motion, the robot can quickly pick up a wide variety of human-like behaviours. This means that whatever humans can do, the robot can potentially learn,” said Xuanbin Peng, Researcher at the University of California, San Diego.
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