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

^*此作品的通讯作者

Anhui University of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

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.

源语言	英语
页（从-至）	454-460
页数	7
期刊	Optoelectronics Letters
卷	18
期	8
DOI	https://doi.org/10.1007/s11801-022-2005-x
出版状态	已出版 - 8月 2022
已对外发布	是

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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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title = "Shape reconstruction based on FBG flexible sensor",

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.",

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

note = "Publisher Copyright: {\textcopyright} 2022, Tianjin University of Technology.",

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doi = "10.1007/s11801-022-2005-x",

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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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SP - 454

EP - 460

JO - Optoelectronics Letters

JF - Optoelectronics Letters

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ER -

Shape reconstruction based on FBG flexible sensor

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