Shape reconstruction based on FBG flexible sensor

Yan Wang; Haoyu Xu; Ping Jin; Junliang Wang; Wei Zhu

doi:10.1007/s11801-022-2005-x

Shape reconstruction based on FBG flexible sensor

Yan Wang^*, Haoyu Xu, Ping Jin, Junliang Wang, Wei Zhu

^*Corresponding author for this work

Anhui University of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, the shape of the object is reconstructed based on the fiber Bragg grating (FBG) flexible sensor encapsulated by polydimethylsiloxane (PDMS) material, and the influence of the number and layout of the sensors on the reconstruction accuracy of the object is studied. The COMSOL simulation software is used to verify the accuracy of the algorithm, and four sensors are prepared to measure and reconstruct the bent aluminum plate under set conditions. The maximum relative error of the shape reconstruction span is 1.203%, and the maximum relative error of the height is 2.802%. The research results provide the application basis for the shape detection of soft robots.

Original language	English
Pages (from-to)	454-460
Number of pages	7
Journal	Optoelectronics Letters
Volume	18
Issue number	8
DOIs	https://doi.org/10.1007/s11801-022-2005-x
Publication status	Published - Aug 2022
Externally published	Yes

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Wang, Y., Xu, H., Jin, P., Wang, J., & Zhu, W. (2022). Shape reconstruction based on FBG flexible sensor. Optoelectronics Letters, 18(8), 454-460. https://doi.org/10.1007/s11801-022-2005-x

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author = "Yan Wang and Haoyu Xu and Ping Jin and Junliang Wang and Wei Zhu",

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T1 - Shape reconstruction based on FBG flexible sensor

AU - Wang, Yan

AU - Xu, Haoyu

AU - Jin, Ping

AU - Wang, Junliang

AU - Zhu, Wei

PY - 2022/8

Y1 - 2022/8

N2 - In this paper, the shape of the object is reconstructed based on the fiber Bragg grating (FBG) flexible sensor encapsulated by polydimethylsiloxane (PDMS) material, and the influence of the number and layout of the sensors on the reconstruction accuracy of the object is studied. The COMSOL simulation software is used to verify the accuracy of the algorithm, and four sensors are prepared to measure and reconstruct the bent aluminum plate under set conditions. The maximum relative error of the shape reconstruction span is 1.203%, and the maximum relative error of the height is 2.802%. The research results provide the application basis for the shape detection of soft robots.

AB - In this paper, the shape of the object is reconstructed based on the fiber Bragg grating (FBG) flexible sensor encapsulated by polydimethylsiloxane (PDMS) material, and the influence of the number and layout of the sensors on the reconstruction accuracy of the object is studied. The COMSOL simulation software is used to verify the accuracy of the algorithm, and four sensors are prepared to measure and reconstruct the bent aluminum plate under set conditions. The maximum relative error of the shape reconstruction span is 1.203%, and the maximum relative error of the height is 2.802%. The research results provide the application basis for the shape detection of soft robots.

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JO - Optoelectronics Letters

JF - Optoelectronics Letters

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ER -

Shape reconstruction based on FBG flexible sensor

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