In Advanced materials (Deerfield Beach, Fla.)
Inspired by natural biological systems, soft robots have recently been developed, showing tremendous potential in real-world applications because of their intrinsic softness and deformability. The confluence of electronic skins and machine learning is extensively studied to create effective biomimetic robotic systems. Based on a differential piezoelectric matrix, this study presents a shape-sensing electronic skin (SSES) that can recognize surface conformations with minimal interference from pressing, stretching, or other surrounding stimuli. It is then integrated with soft robots to reconstruct their shape during movement, serving as a proprioceptive sense. Additionally, the robot could utilize machine learning to identify various terrains, demonstrating exteroception and pointing towards more advanced autonomous robots capable of performing real-world tasks in challenging environments. This article is protected by copyright. All rights reserved.
Shu Sheng, Wang Ziming, Chen Pengfei, Zhong Junwen, Tang Wei, Wang Zhong Lin
2023-Feb-07
Shape-sensing skin, curvature, intelligent soft robots, machine learning
