| Title | High accuracy bend sensing of soft robots based on FBG and ANN |
| Author | |
| DOI | |
| Publication Years | 2022
|
| ISSN | 2330-7986
|
| ISBN | 978-1-6654-5899-3
|
| Source Title | |
| Pages | 1-3
|
| Conference Date | 12-15 Aug. 2022
|
| Conference Place | Shenzhen, China
|
| Keywords | |
| SUSTech Authorship | First
|
| URL | [Source Record] |
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9901189 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/406465 |
| Department | Department of Electrical and Electronic Engineering |
| Affiliation | Department of Electronic and Electrical Engineering, Southern University of Science and Technology, China |
| First Author Affilication | Department of Electrical and Electronic Engineering |
| First Author's First Affilication | Department of Electrical and Electronic Engineering |
| Recommended Citation 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.
|
| Files in This Item: | There are no files associated with this item. | |||||
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