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‘Fake’ data helps robots learn the ropes faster: A way to expand training data sets for manipulation tasks improves the performance of robots by 40% or more

New theory predicts movement of different animals using sensing to search

In a step toward robots that can learn on the fly like humans do, a new approach expands training data sets for robots that work with soft objects like ropes and fabrics, or in cluttered environments.

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