HMI for cooperative robot Kuka youBot based on Electromyography technique

Horatiu Roibu, Lidia-Cristina Bazavan, S. Cismaru, N. Bîzdoaca
{"title":"HMI for cooperative robot Kuka youBot based on Electromyography technique","authors":"Horatiu Roibu, Lidia-Cristina Bazavan, S. Cismaru, N. Bîzdoaca","doi":"10.1109/mocast54814.2022.9837721","DOIUrl":null,"url":null,"abstract":"The ways in which humans and machines interact have changed as new technologies have been introduced into practice. At this moment, the trend is to simplify the interaction between man and machine, making the interfaces as intuitive and easy to use as possible. In this purpose, human-machine interfaces based on voice commands, gestures and even interfaces based on electrobiological signals generated by human body have been successfully developed. In this paper, the authors show the current stage, steps and experiments performed to develop a human-machine interface based on the electromyography technique. The proposed procedure involves the collection of electrical signals generated by muscles and their transformation into usable signals for the control of a robot by processing them. The interface was connected with the Kuka youBot two-arm cooperative robot and allowed control of its joints. Thus, the movement of the user’s arm, resulted by muscle contraction, is transposed into joints movement of the robotic arm. At the end of the paper are presented the conclusions of the experiments performed, the utility, but also the directions of future development for the proposed concept.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/mocast54814.2022.9837721","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

The ways in which humans and machines interact have changed as new technologies have been introduced into practice. At this moment, the trend is to simplify the interaction between man and machine, making the interfaces as intuitive and easy to use as possible. In this purpose, human-machine interfaces based on voice commands, gestures and even interfaces based on electrobiological signals generated by human body have been successfully developed. In this paper, the authors show the current stage, steps and experiments performed to develop a human-machine interface based on the electromyography technique. The proposed procedure involves the collection of electrical signals generated by muscles and their transformation into usable signals for the control of a robot by processing them. The interface was connected with the Kuka youBot two-arm cooperative robot and allowed control of its joints. Thus, the movement of the user’s arm, resulted by muscle contraction, is transposed into joints movement of the robotic arm. At the end of the paper are presented the conclusions of the experiments performed, the utility, but also the directions of future development for the proposed concept.
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
基于肌电图技术的协作机器人Kuka youBot人机界面
随着新技术的应用,人类和机器互动的方式已经发生了变化。目前的趋势是简化人机交互,使界面尽可能直观和易于使用。为此,基于语音命令、手势甚至基于人体产生的电生物信号的人机界面已被成功开发。在本文中,作者展示了基于肌电图技术开发人机界面的当前阶段、步骤和实验。所提出的程序包括收集肌肉产生的电信号,并通过处理将其转换为可用的信号以控制机器人。该接口与库卡youBot双臂协作机器人相连,并允许控制其关节。这样,由肌肉收缩引起的使用者手臂的运动,就转化为机械臂的关节运动。在论文的最后给出了实验的结论,实用性,以及未来的发展方向为所提出的概念。
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
Defining the performance of SiOx ReRAM by engineering oxide microstructure A Methodology for Writer Identification, With Application to An Important Historical Greek Document Compact Ground Bounce Sensors for SoC Energy Harvesting Applications A System-by-Design Approach for Optimal Planning of EM Skins in Smart Urban Areas A General Model for Metal Oxide-Based Memristors and Application in Filters
×
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