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Researchers’ algorithm designs soft robots that sense: Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.

New theory predicts movement of different animals using sensing to search

Researchers developed a deep learning neural network to aid the design of soft-bodied robots. The algorithm optimizes the arrangement of sensors on the robot, enabling it to complete tasks as efficiently as possible.

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