Robot with rapid motor adaptation able to traverse multiple types of terrain

A group of researchers from Carnegie Mellon and UC Berkeley working with a team at Facebook AI has developed a new type of reactive locomotive system for robots. Called rapid motor adaptation, it allows a robot to traverse a variety of terrain types by learning from past experiences. The group has written a paper describing their new technology and how well it worked when tested and have posted it on the arXiv preprint server.

from News on Artificial Intelligence and Machine Learning https://ift.tt/2VubYIB

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