南方科技大学知识苑(SUSTech KC): High accuracy bend sensing of soft robots based on FBG and ANN

题名	High accuracy bend sensing of soft robots based on FBG and ANN
作者	Ziyan ZHAO; Minghui NIU; Jiayuan MIN; Jie HU; Muxing Zheng; Huanhuan LIU; Dan LUO; Liyang SHAO; Perry Ping Shum
DOI	10.1109/ICOCN55511.2022.9901189
发表日期	2022
ISSN	2330-7986
ISBN	978-1-6654-5899-3
会议录名称	2022 20th International Conference on Optical Communications and Networks (ICOCN)
页码	1-3
会议日期	12-15 Aug. 2022
会议地点	Shenzhen, China
摘要	We demonstrated a FBG sensor measuring the bend radius of soft robot with good repeatability, in which ANN is used for data analysis. Our results show that this FBG sensor can provide high-accurate measurement.
关键词	Soft robot Fiber Bragg Grating Bend Sensor ANN
学校署名	第一
相关链接	[IEEE记录]
来源库	IEEE
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9901189
引用统计	被引频次[WOS]：0
成果类型	会议论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/406465
专题	工学院_电子与电气工程系
作者单位	Department of Electronic and Electrical Engineering, Southern University of Science and Technology, China
第一作者单位	电子与电气工程系
第一作者的第一单位	电子与电气工程系
推荐引用方式 GB/T 7714	Ziyan ZHAO,Minghui NIU,Jiayuan MIN,et al. High accuracy bend sensing of soft robots based on FBG and ANN[C],2022:1-3.