中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Shape Sensing for Continuum Robots by Capturing Passive Tendon Displacements with Image Sensors

文献类型:期刊论文

作者Li JH(李建华)1,5,6,7; Zhang FM(张芳敏)1,6,7; Yang, Zhenguo2; Jiang, Zhenming3; Wang ZD(王志东)4; Liu H(刘浩)1,6,7
刊名IEEE Robotics and Automation Letters
出版日期2022
卷号7期号:2页码:3130-3137
ISSN号2377-3766
关键词Surgical robotics steerable catheters/needles tendon/wire mechanism shape sensor
产权排序1
英文摘要

Continuum robots and soft robots have shown great potential in industrial and medical applications. Sensing the shapes of continuum robots is a challenging but significant problem for enhancing their performance during various tasks. In this paper, we present a novel method to estimate the shapes of continuum robots by capturing passive tendon displacements with image sensors. This method is reliable but low-cost. To reconstruct the shape of the continuum robot, an intuitive way based on screw theory and the material frame is also presented. The displacements of passive tendons are related to the integral of the geometric parameters of the continuum robot. By using passive tendon displacements, not only bending but also twisting of the robot can be calculated. The experiments show that our method can estimate the shapes of the robot deformed in different conditions. The mean distal position error is 3.01% of the length and the mean shape error is 1.86% of the length. The mean distal direction error is 4.1 degrees. Besides, sensing the shapes of continuum robots in real-time is also achieved.

WOS关键词OPTICAL-FIBERS
资助项目National Natural Science Foundation of China[61873257] ; National Natural Science Foundation of China[U20A20195] ; Natural Science Foundation of Liaoning Province[2019-KF-01-12] ; Collaborative Innovation Research of Medicine Engineering Combination of Shenyang[20-205-4-015]
WOS研究方向Robotics
语种英语
WOS记录号WOS:000752014300027
资助机构National Natural Science Foundation of China under Grants 61873257 and U20A20195 ; Natural Science Foundation of Liaoning Province under Grant 2019-KF-01-12 ; Collaborative Innovation Research of Medicine Engineering Combination of Shenyang under Grant 20-205-4-015
源URL[http://ir.sia.cn/handle/173321/30336]  
专题沈阳自动化研究所_机器人学研究室
通讯作者Liu H(刘浩)
作者单位1.Key Laboratory of Minimally Invasive Surgical Robot, Shenyang, Liaoning Province 110016, China
2.Shenyang Jianzhu University, Shenyang 110168, China
3.Department of Urology, The First Hospital of China Medical University, Shenyang 110001, China
4.Department of Advanced Robotics, Chiba Institute of Technology, Narashino, Chiba 275-0016, Japan
5.University of Chinese Academy of Sciences, Beijing 100049, China
6.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
7.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
推荐引用方式
GB/T 7714
Li JH,Zhang FM,Yang, Zhenguo,et al. Shape Sensing for Continuum Robots by Capturing Passive Tendon Displacements with Image Sensors[J]. IEEE Robotics and Automation Letters,2022,7(2):3130-3137.
APA Li JH,Zhang FM,Yang, Zhenguo,Jiang, Zhenming,Wang ZD,&Liu H.(2022).Shape Sensing for Continuum Robots by Capturing Passive Tendon Displacements with Image Sensors.IEEE Robotics and Automation Letters,7(2),3130-3137.
MLA Li JH,et al."Shape Sensing for Continuum Robots by Capturing Passive Tendon Displacements with Image Sensors".IEEE Robotics and Automation Letters 7.2(2022):3130-3137.

入库方式: OAI收割

来源:沈阳自动化研究所

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