一种简易的假手滑动检测方法

Bei Yang, Xiao-Gang Duan, H. Deng
{"title":"一种简易的假手滑动检测方法","authors":"Bei Yang, Xiao-Gang Duan, H. Deng","doi":"10.1109/ICINFA.2015.7279645","DOIUrl":null,"url":null,"abstract":"To achieve a human like grasping with a multifingered robot hand, the grasping force should be controlled without using information from the grasped object such as its weight and friction coefficient. In this study, we describe an experiment focusing on the consistency of slip detection of a prosthetic hand equipped with a force sensing resistor (FSR) which can capture force variations during the slip of grasped object. A method for detecting the slip of a grasped object using the discrete wavelet transform (DWT) of the high frequency signal output of FSR was proposed. The effectiveness of the proposed method was confirmed in tests of slip detection during grasping. Moreover, the test results indicated that the hardness and mass of the object and disturbing force have very limited impact on the slipping patterns. Finally, a simple model was proposed to obtain the decline value of grasping force by using the results from DWT. This model can also be used as a method for slip detection.","PeriodicalId":186975,"journal":{"name":"2015 IEEE International Conference on Information and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"A simple method for slip detection of prosthetic hand\",\"authors\":\"Bei Yang, Xiao-Gang Duan, H. Deng\",\"doi\":\"10.1109/ICINFA.2015.7279645\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To achieve a human like grasping with a multifingered robot hand, the grasping force should be controlled without using information from the grasped object such as its weight and friction coefficient. In this study, we describe an experiment focusing on the consistency of slip detection of a prosthetic hand equipped with a force sensing resistor (FSR) which can capture force variations during the slip of grasped object. A method for detecting the slip of a grasped object using the discrete wavelet transform (DWT) of the high frequency signal output of FSR was proposed. The effectiveness of the proposed method was confirmed in tests of slip detection during grasping. Moreover, the test results indicated that the hardness and mass of the object and disturbing force have very limited impact on the slipping patterns. Finally, a simple model was proposed to obtain the decline value of grasping force by using the results from DWT. This model can also be used as a method for slip detection.\",\"PeriodicalId\":186975,\"journal\":{\"name\":\"2015 IEEE International Conference on Information and Automation\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Information and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINFA.2015.7279645\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Information and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2015.7279645","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

为了实现多指机械手的人形抓取,不需要利用被抓取物体的重量和摩擦系数等信息来控制抓取力。在这项研究中,我们描述了一项实验,重点研究了配备力传感电阻(FSR)的假手的滑移检测一致性,该电阻可以捕获抓取物体滑移过程中的力变化。提出了一种利用FSR高频信号输出的离散小波变换(DWT)检测被抓物体滑移的方法。在抓取滑移检测实验中验证了该方法的有效性。此外,试验结果表明,物体的硬度和质量以及扰动力对滑动模式的影响非常有限。最后,提出了一个简单的模型,利用小波变换的结果得到抓取力的下降值。该模型也可作为滑移检测的一种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A simple method for slip detection of prosthetic hand
To achieve a human like grasping with a multifingered robot hand, the grasping force should be controlled without using information from the grasped object such as its weight and friction coefficient. In this study, we describe an experiment focusing on the consistency of slip detection of a prosthetic hand equipped with a force sensing resistor (FSR) which can capture force variations during the slip of grasped object. A method for detecting the slip of a grasped object using the discrete wavelet transform (DWT) of the high frequency signal output of FSR was proposed. The effectiveness of the proposed method was confirmed in tests of slip detection during grasping. Moreover, the test results indicated that the hardness and mass of the object and disturbing force have very limited impact on the slipping patterns. Finally, a simple model was proposed to obtain the decline value of grasping force by using the results from DWT. This model can also be used as a method for slip detection.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信