中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Force Feedback Control of a Robotic Needle Insertion into Layered Soft Tissues

文献类型:会议论文

作者Yang TW(杨唐文)4; Xiao, Lifang4; Chen PF(陈盼飞)4; Zhu, Haifeng4; Zhao XG(赵新刚)3; Song GL(宋国立)3; Han JD(韩建达)2; Xu WL(徐卫良)1
出版日期2018
会议日期November 20-22, 2018
会议地点Stuttgart, Germany
关键词robotic needle insertion force feedback control wavelet transform boundaries identification layered tissue
页码1-5
英文摘要In this study, a feedback control law is proposed to steer a robotic needle using force information from a fiber optic sensor. This sensor is integrated into the lumen at the distal end of the needle to measure the needle insertion force. The force signals are analyzed via wavelet transform to identify the boundaries of layered soft tissues in real time. The boundaries information is then used in the robotic needle steering scheme to reduce as much as possible the insertion force, and mitigate the risk of tissue injury. Porcine belly tissue phantoms are herein used in the ex vivo tests of robotic needle insertion, and comparative study has been done with and without insertion force feedback. Experimental results show that the force feedback control approach proposed reduces effectively the insertion force.
产权排序2
会议录Proceedings of the 2018 25th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2018
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-5386-7544-1
WOS记录号WOS:000459815100008
源URL[http://ir.sia.cn/handle/173321/24239]  
专题沈阳自动化研究所_机器人学研究室
通讯作者Yang TW(杨唐文)
作者单位1.Department of Mechnaical Engineering, University of Auckland, Auckland, New Zealand
2.College of Artificial Intelligence, Nankai Univeristy, Tianjin, China
3.State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang, China
4.Institute of Information Science, Beijing Jiaotong University, Beijing, China
推荐引用方式
GB/T 7714
Yang TW,Xiao, Lifang,Chen PF,et al. Force Feedback Control of a Robotic Needle Insertion into Layered Soft Tissues[C]. 见:. Stuttgart, Germany. November 20-22, 2018.

入库方式: OAI收割

来源:沈阳自动化研究所

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