High-Accuracy 3D Shape Sensor Based on Anti-Twist Packaged High Uniform Multicore Fiber FBGs

被引:12
|
作者
Meng, Leixin [1 ]
Xu, Hang [2 ,3 ,4 ]
Huang, Yangyang [5 ]
Zhuang, Yuan [1 ]
Wang, Liqiang [1 ,2 ,3 ]
Pang, Chenlei [1 ]
Zhang, Ming [5 ]
Guo, Haizhong [4 ]
Zhang, Jiahe [1 ]
Guo, Fei [1 ]
Yang, Qing [1 ,2 ,3 ]
机构
[1] Res Ctr Humanoid Sensing, Zhejiang Lab, Hangzhou 311100, Peoples R China
[2] Zhejiang Univ, Coll Opt Sci & Engn, State Key Lab Modern Opt Instrumentat, Hangzhou 310027, Peoples R China
[3] Zhejiang Univ, Int Res Ctr Adv Photon, Hangzhou 310027, Peoples R China
[4] Zhengzhou Univ, Sch Phys & Microelect, Key Lab Mat Phys, Minist Educ, Zhengzhou 450001, Peoples R China
[5] Zhejiang Univ Technol, Coll Sci, Hangzhou 310023, Peoples R China
基金
美国国家科学基金会;
关键词
Shape sensors; Accuracy; Multicore fibers; FBGs; Ultraviolet index matching liquid; Stress fully release; OPTICAL-FIBER; INSCRIPTION; TORSION; ARRAYS;
D O I
10.1007/s42765-023-00285-5
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Improving the accuracy of shape sensors based on multicore fibers (MCFs) is challenging but of great importance for real-time 3D shape detection, especially in visually inaccessible areas. In this work, a novel approach is proposed to improve MCF shape sensor accuracy using an ultraviolet transparent liquid mediated fiber Bragg grating (FBG) inscription technique and a twist-isolating packaging method. A newly developed UV index matching liquid (UV-IML) is used to generate uniform light field at all the MCF cores, enabling FBG inscription with high accuracy. Additionally, a new stress fully released (SFR) packaging method is implemented to isolate the sensor from any external twists. The MCF shape sensor shows a maximum relative error of only 3.33% and the lowest reported relative sensitivity error of 1.11% cm(-1). Moreover, a real-time 3D shape sensing system with a response frequency larger than 30 Hz is constructed using the unique MCF shape sensor. The highly accurate real-time 3D shape sensing results indicate potential applications for in vivo shape estimation of endoscopies and soft robots.
引用
收藏
页码:1467 / 1477
页数:11
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