Carbon nano artificial neuron system for flexible tactile sensing

Se-Hoon Park, S. Y. Kim, Jin Ho Kim, I. Kang
{"title":"Carbon nano artificial neuron system for flexible tactile sensing","authors":"Se-Hoon Park, S. Y. Kim, Jin Ho Kim, I. Kang","doi":"10.1109/URAI.2013.6677439","DOIUrl":null,"url":null,"abstract":"This paper introduces an ongoing study to development a novel flexible tactile sensing system. The tactile system is consisted of the array of flexible sensors having piezoresistivity. To achieve flexibility and high sensitivity, the flexible sensors have been developed with smart nanocomposites. The smart nanocomposites are fabricated with multi-walled carbon nanotubes (MWCNTs) and graphene oxide (GO). The piezo-resistive characteristics of the sensors show fairy linear strain sensing with gauge factor range from 1~300 with respect to various strain range (~ 0.4%). The GO based strain sensor shows impact response over 0.09kg m/s which can sufficiently detect small contact forces. The long and flexible sensor can be considered to be a continuous sensor like a dendrite of a neuron in the human body and we named the sensor as a biomimetic artificial neuron. To mimic tactile system, we design ANMS (Artificial Neuron Matrix System) consisting the array of neurons and develop tactile algorithm to localize the contact information with a signal processing system.","PeriodicalId":431699,"journal":{"name":"2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URAI.2013.6677439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This paper introduces an ongoing study to development a novel flexible tactile sensing system. The tactile system is consisted of the array of flexible sensors having piezoresistivity. To achieve flexibility and high sensitivity, the flexible sensors have been developed with smart nanocomposites. The smart nanocomposites are fabricated with multi-walled carbon nanotubes (MWCNTs) and graphene oxide (GO). The piezo-resistive characteristics of the sensors show fairy linear strain sensing with gauge factor range from 1~300 with respect to various strain range (~ 0.4%). The GO based strain sensor shows impact response over 0.09kg m/s which can sufficiently detect small contact forces. The long and flexible sensor can be considered to be a continuous sensor like a dendrite of a neuron in the human body and we named the sensor as a biomimetic artificial neuron. To mimic tactile system, we design ANMS (Artificial Neuron Matrix System) consisting the array of neurons and develop tactile algorithm to localize the contact information with a signal processing system.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
柔性触觉感知碳纳米人工神经元系统
本文介绍了一种新型柔性触觉传感系统的研究进展。触觉系统由一系列具有压阻性的柔性传感器组成。为了实现柔性和高灵敏度,采用智能纳米复合材料开发了柔性传感器。采用多壁碳纳米管(MWCNTs)和氧化石墨烯(GO)制备了智能纳米复合材料。该传感器的压阻特性表现为良好的线性应变传感,相对于不同的应变范围,测量因子范围为1~300(~ 0.4%)。基于氧化石墨烯的应变传感器显示出超过0.09kg m/s的冲击响应,可以充分检测小的接触力。这种长而灵活的传感器可以看作是像人体神经元树突一样的连续传感器,我们将这种传感器命名为仿生人工神经元。为了模拟触觉系统,我们设计了由神经元阵列组成的人工神经元矩阵系统(ANMS),并利用信号处理系统开发了触觉算法来定位接触信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Leader-follower formation control using infrared camera with reflective tag Optimal mission planning for underwater environment Mobile robot localization using indistinguishable artificial landmarks A study of collision avoidance between service robot and human at corner — Analysis of human behavior at corner Concept of variable transmission for tendon driven mechanism
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1