MakeSense: Automated Sensor Design for Proprioceptive Soft Robots

Work by Javier Tapia, Espen Knoop , Mojmir Mutny, Miguel A. Otaduy, and Moritz Bacher, 2020

Keywords: Convex, optimization, feasible, design

Summary

Researchers at Disney have created a method for doing optimized sensor selection for soft robotics. A large number of presumptive fabricable sensors are virtually generated and are then culled down to a small set which give good pose estimation in simulation. They then verify the method experimentally by fabricating physical soft robots with highly elastic strain sensors embedded in a flexible polymer. Although our own research is geared toward theoretical analysis of sensor and actuator selection in the case of well-defined networked linear systems, we found this study a fascinating tangent.

Watch the video and read the paper here.