电子皮肤
触觉传感器
电容感应
可穿戴计算机
Python(编程语言)
灵敏度(控制系统)
人工智能
机器人学
计算机科学
计算机视觉
软件
传感器阵列
图形用户界面
敏感皮肤
计算机硬件
工程类
机器人
电气工程
电子工程
嵌入式系统
材料科学
光电子学
机器学习
病理
操作系统
程序设计语言
医学
作者
Samta Sapra,Aniket Chakraborthy,Suresh Nuthalapati,Anindya Nag,David W. Inglis,Subhas Chandra Mukhopadhyay,M. Ercan Altınsoy
出处
期刊:Measurement
[Elsevier]
日期:2023-01-01
卷期号:206: 112348-112348
被引量:2
标识
DOI:10.1016/j.measurement.2022.112348
摘要
The need to develop electronic skin (e-skin) for robotics is essential to provide a sense of touch on a large area, the same as human skin. This paper reports the design and development of printed e-skin force sensor arrays. The performance analysis of these capacitive force sensor arrays showed a resolution of 2.5 sq. mm, localization accuracy of 99% and a sensitivity of 0.53 pF/N. The sensor patches provided significant force sensitivity and stable loading and unloading for static force. A graphical user interface is developed in open-source python software. An unsupervised machine learning algorithm trains the tactile e-skin system for different user styles to distinguish the cluster of lower and higher touch angles for improving accuracy. The proposed e-skin sensor finds application in large-area sensors and gripper pads for prosthetics in biomedical devices where the sense of touch and high resolution is needed.
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