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One of the biggest hurdles in developing humanoid robots is the sheer amount of training data required. Teaching machines to act like humans demands massive video datasets. Collecting that data is expensive, time-consuming and difficult to scale. This challenge has slowed progress toward making robots useful in everyday environments such as homes, hospitals and offices.

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CHINA LAUNCHES CENTER TO TRAIN 100-PLUS HUMANOID ROBOTS SIMULTANEOUSLY

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