触觉传感器
材料科学
人工智能
灵敏度(控制系统)
曲率
机器人
计算机视觉
摩擦电效应
图像传感器
过程(计算)
传感器阵列
电子皮肤
对象(语法)
计算机科学
智能材料
声学
纳米技术
电子工程
工程类
几何学
数学
物理
机器学习
复合材料
操作系统
作者
Ziyao An,Zhiyi Wu,Yiran Hu,Chengcheng Han,Zhi Cao,Hanlin Zhou,Yongyang Chen
出处
期刊:Nano Energy
[Elsevier BV]
日期:2024-04-02
卷期号:125: 109567-109567
被引量:6
标识
DOI:10.1016/j.nanoen.2024.109567
摘要
Tactile sensors can provide intuitive information about the shape, size, and texture of objects, which helps robots make more accurate decisions. In this paper, based on the principle of triboelectrification and electrostatic induction, a miniature tactile sensor (MTS) for smart object recognition is designed using composite materials based on silica gel. Its diameter is only 6 mm, and the electrodes are arranged in a circumferential array, which has excellent shape adaptability and can recognize curved materials with curvature of 1/15 mm-1. By optimizing the sensor structure and process to obtain a microstructure with a spike-like shape, the sensitivity of the sensor is successfully improved, and the smallest and accurately detected surface material side length is 5 mm. In addition, the article provides a smart sensor system that can enhance the recognition function of robots with the help of machine learning technology, and the discrimination accuracy reaches 95.7%, which lays a solid foundation for practical applications.
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