Make Sense: Automated Sensor Design for Proprioceptive Soft Robots
Soft robots have applications in safe humanrobot interactions, manipulation of fragile objects, and locomotion in challenging and unstructured environments. In this paper, we present a computational method for augmenting soft robots with proprioceptive sensing capabilities. Our method automatically computes a minimal stretchreceptive sensor network to userprovided soft robotic designs, which is optimized to perform well under a set of userspecified deformationforce pairs. The sensorized robots are able
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