中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An orthogonal calibration method for the multi-core fiber shape sensor

文献类型:会议论文

作者Wang ZX(王振兴)4,5,6,7; Liu, Meng3; Li J(李杰)2; Wang ZD(王志东)1; Liu H(刘浩)4,6,7
出版日期2021
会议日期December 27-31, 2021
会议地点Sanya, China
页码226-231
英文摘要The multi-fiber shape sensor has important application value due to its high precision and anti- interference. The installation error of core fiber affects the measurement accuracy of the sensor but there is no universal calibration method in present sensor application. In this paper, an orthogonal calibration method is proposed to get the position parameters of each optical fiber. Based the calibration parameters, the shape measured can be reconstructed. Through digital simulation and sensor experiments, the measurement error of the multi-fiber shape sensor can be reduced to 1% of the traditional method.
源文献作者Chiba Institute of Technology ; et al. ; IEEE Robotics and Automation Society ; Nankai University ; Shenyang Institute of Automation ; Shenzhen Academy of Robotics
产权排序1
会议录2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-6654-0535-5
源URL[http://ir.sia.cn/handle/173321/30831]  
专题沈阳自动化研究所_机器人学研究室
通讯作者Wang ZX(王振兴)
作者单位1.Chiba Institute of Technology, Department of Advance Robotics, Chiba, Japan
2.Shenyang Jianzhu University, Shenyang 110016, China
3.Shenyang Ligong University, Shenyang 110016, China
4.Key Laboratory of Minimally Invasive Surgical Robot, Liaoning Province, Shenyang 110016, China
5.University Chinese Academy of Sciences, Beijing 100049, China
6.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
7.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Wang ZX,Liu, Meng,Li J,et al. An orthogonal calibration method for the multi-core fiber shape sensor[C]. 见:. Sanya, China. December 27-31, 2021.

入库方式: OAI收割

来源:沈阳自动化研究所

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