双模
电容感应
摩擦电效应
材料科学
纳米发生器
分离器(采油)
人工智能
机器人学
能量收集
电子皮肤
人工肌肉
触觉知觉
声学
计算机科学
机器人
压电
纳米技术
触觉技术
电气工程
能量(信号处理)
执行机构
电子工程
工程类
物理
复合材料
统计
热力学
数学
作者
Xiang Fu,Jianing Dong,Ling Li,Liang Zhang,Jiqiang Zhang,Longteng Yu,Qinhao Lin,Jiahe Zhang,Chengpeng Jiang,Jin Zhang,Yancheng Wang,Wenzhuo Wu,Feng Ru Fan,Yixiu Wang,Qing Yang
出处
期刊:Nano Energy
[Elsevier]
日期:2022-09-11
卷期号:103: 107788-107788
被引量:19
标识
DOI:10.1016/j.nanoen.2022.107788
摘要
The capability of perceiving the uncertain environment and the adaptation to external stimuli is of main concern in robotics. Inspired by the outer microstructure of the human fingerprint, a dual-mode tactile sensor is developed, consisting of capacitive sensing units for the static force perception, hybrid nanogenerators for the dynamic response and fingerprint-like hierarchical winkles. By leveraging the individual areas and jointing spaces, eight functional electrode points are defined, achieving position sensing with clear differentiation even under various operations, including tapping and sliding interactions. After conformally interrelating the piezoelectric layer into the triboelectric separator, the carbon-silicone composites enhanced capacitor with the as-designed functions can convert external mechanical energy into electricity, whilst detecting three-axis force with high sensitivity and wide linear range. Moreover, the device is demonstrated to detect high-frequency vibration and slow micro-friction phenomena, ensuring a stable and repeatable identification of the typical robotic hand movement.
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