Design and Control of a Piezoelectric Actuated Prostate Intervention Robotic System*

Yuyang Lin, Yunlai Shi, Jun Zhang, Fugang Wang, Wenbo Wu, Haichao Sun
{"title":"Design and Control of a Piezoelectric Actuated Prostate Intervention Robotic System*","authors":"Yuyang Lin, Yunlai Shi, Jun Zhang, Fugang Wang, Wenbo Wu, Haichao Sun","doi":"10.1109/UR49135.2020.9144768","DOIUrl":null,"url":null,"abstract":"Robot-assisted prostate intervention under Magnetic resonance imaging (MRI) guidance is a promising method to improve the clinical performance compared with the manual method. An MRI-guided 6-DOF prostate intervention serial robot fully actuated by ultrasonic motors is designed and the control strategy is proposed. The mechanical design of the proposed robot is presented based on the design requirements of the prostate intervention robot. The binocular vision is adopted as the in-vitro needle tip measurement method and the robotic system combined with the binocular cameras are illustrated. Then the ultrasonic motor driving controller is designed. Finally, the position accuracy evaluation of the robot is carried out and the position error is about 1.898 mm which shows a good accuracy of the robot. The position tracking characteristics of the ultrasonic motor is presented where the maximum tracking error is under 7.5° which shows the efficiency of the driving controller design. The experiments indicate that the prostate intervention robot is feasible and shows good performance in the accuracy evaluation.","PeriodicalId":360208,"journal":{"name":"2020 17th International Conference on Ubiquitous Robots (UR)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 17th International Conference on Ubiquitous Robots (UR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UR49135.2020.9144768","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Robot-assisted prostate intervention under Magnetic resonance imaging (MRI) guidance is a promising method to improve the clinical performance compared with the manual method. An MRI-guided 6-DOF prostate intervention serial robot fully actuated by ultrasonic motors is designed and the control strategy is proposed. The mechanical design of the proposed robot is presented based on the design requirements of the prostate intervention robot. The binocular vision is adopted as the in-vitro needle tip measurement method and the robotic system combined with the binocular cameras are illustrated. Then the ultrasonic motor driving controller is designed. Finally, the position accuracy evaluation of the robot is carried out and the position error is about 1.898 mm which shows a good accuracy of the robot. The position tracking characteristics of the ultrasonic motor is presented where the maximum tracking error is under 7.5° which shows the efficiency of the driving controller design. The experiments indicate that the prostate intervention robot is feasible and shows good performance in the accuracy evaluation.
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
压电驱动前列腺介入机器人系统的设计与控制
在磁共振成像(MRI)引导下,机器人辅助前列腺干预是一种较有前途的提高临床表现的方法。设计了一种全超声马达驱动的磁共振引导六自由度前列腺介入系列机器人,并提出了控制策略。根据前列腺介入机器人的设计要求,提出了该机器人的机械设计方案。采用双目视觉作为体外针尖测量方法,并对结合双目摄像机的机器人系统进行了说明。然后设计了超声波电机驱动控制器。最后对机器人进行了位置精度评价,位置误差约为1.898 mm,表明机器人具有较好的精度。给出了超声电机在最大跟踪误差小于7.5°时的位置跟踪特性,表明了驱动控制器设计的有效性。实验结果表明,该前列腺干预机器人是可行的,在准确性评估方面表现出良好的性能。
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
Accuracy Improvement of Fisheye Stereo Camera by Combining Multiple Disparity Offset Maps Cloud Services for Culture Aware Conversation: Socially Assistive Robots and Virtual Assistants Robotic Path Planning for Inspection of Complex-Shaped Objects Prediction of expected Angle of knee joint of human lower limbs based on leg interaction A CNN-LSTM Hybrid Model for Ankle Joint Motion Recognition Method Based on sEMG
×
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