材料科学
石墨烯
激光器
纳米技术
动作(物理)
金属
电子皮肤
复合材料
光电子学
光学
冶金
物理
量子力学
作者
Yanpeng Li,Goki Matsumura,Yan Xuan,Satoko Honda,Kuniharu Takei
标识
DOI:10.1002/adfm.202313824
摘要
Abstract Monitoring tactile pressure and recognizing action are important functionalities for artificial electronic skin (e‐skin). Furthermore, in order to create conformable coverings for 3D objects, an e‐skin needs to be stretchable, without sacrificing sensitivity to tactile pressure. However, stretching of sensors normally affects their output stability. In this study, a stretchable e‐skin is developed using laser‐induced graphene and a liquid metal alloy, GaInSn, in an elastic ecoflex polymer to create a stretchable, resistive‐type tactile pressure sensor. Furthermore, a pressure sensor array is fabricated as an e‐skin, and output is signal‐processed using machine learning. With this system, the e‐skin also monitors its stretching state, with the result that tactile pressure can be calculated regardless of the degree of stretching. With machine learning‐assisted e‐skin, actions such as patting, sliding, and grabbing are successfully recognized in the manner of human skin.
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