An adaptive force reflective teleoperation control method using online environment impedance estimation

Faezeh Heydari Khabbaz, A. Goldenberg, J. Drake
{"title":"An adaptive force reflective teleoperation control method using online environment impedance estimation","authors":"Faezeh Heydari Khabbaz, A. Goldenberg, J. Drake","doi":"10.1109/RIISS.2014.7009167","DOIUrl":null,"url":null,"abstract":"This paper proposes a new adaptive method for two-channel bilateral teleoperation systems control; the control method consists of adaptive force feedback and motion command scaling factors that ensure stable teleoperation with maximum achievable transparency at every moment of operation. The method is based on the integration of the real time estimation of the robot's environment impedance with the adaptive force and motion scaling factors generator. This paper formulates the adaptive scaling factors for stable teleoperation based on the impedance models of master, slave and estimated impedance of the environment. Feasibility and accuracy of an online environment impedance estimation method are analyzed through simulations and experiments. Then the proposed adaptive bilateral control method is verified through simulation studies. Results show stable interactions with maximum transparency for the simulated teleoperation system.","PeriodicalId":270157,"journal":{"name":"2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIISS.2014.7009167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

This paper proposes a new adaptive method for two-channel bilateral teleoperation systems control; the control method consists of adaptive force feedback and motion command scaling factors that ensure stable teleoperation with maximum achievable transparency at every moment of operation. The method is based on the integration of the real time estimation of the robot's environment impedance with the adaptive force and motion scaling factors generator. This paper formulates the adaptive scaling factors for stable teleoperation based on the impedance models of master, slave and estimated impedance of the environment. Feasibility and accuracy of an online environment impedance estimation method are analyzed through simulations and experiments. Then the proposed adaptive bilateral control method is verified through simulation studies. Results show stable interactions with maximum transparency for the simulated teleoperation 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
基于在线环境阻抗估计的自适应力反射遥操作控制方法
提出了一种新的双通道双边遥操作系统自适应控制方法;该控制方法由自适应力反馈和运动命令缩放因子组成,保证了在操作的每一刻都能实现最大的透明度和稳定的遥操作。该方法将机器人环境阻抗的实时估计与自适应力和运动比例因子生成器相结合。基于主从阻抗模型和环境估计阻抗模型,给出了稳定遥操作的自适应比例因子。通过仿真和实验分析了一种在线环境阻抗估计方法的可行性和准确性。然后通过仿真研究验证了所提出的自适应双边控制方法。结果表明,模拟遥操作系统具有稳定的相互作用和最大的透明度。
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
A route planning for disaster waste disposal based on robot technology Slip based pick-and-place by universal robot hand with force/torque sensors Application of stretchable strain sensor for pneumatic artificial muscle Development and performance comparison of extended Kalman filter and particle filter for self-reconfigurable mobile robots Medical interview training using depressed patient robot in psychiatric education
×
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