In conventional classification, soft robots feature mechanical compliance as the main distinguishing factor from traditional robots made of rigid materials. We then give a set of design guidelines for optimal actuation performance of magnetic soft materials.
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This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.
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