Calibration-free optical waveguide bending sensor for soft robots

Soft robots have become increasingly popular due to their compliance, deformability, and adaptability. Soft sensors, particularly bending sensors, play a crucial role in providing essential posture and position information for these robots. However, current soft bending sensors encounter difficulties in accurately measuring joint bending angles and directions under different curvatures. To address these challenges, we propose a novel dual-colored layer structured (DCLS) bending sensor based on the optical soft waveguide. The DCLS sensor is constructed using polydimethylsiloxane (PDMS) as the clear core, with red and blue layers on each side. The sensor’s performance is evaluated through experiments involving bending, compression, and impact conditions. The DCLS bending sensor exhibits excellent calibration-free properties, allowing it to effectively monitor bending angles and directions of joints of varying sizes without requiring any additional calibration. The sensor is successfully integrated into various soft robots, including a fruit sorting robot, a fish-inspired robot, and a hand orthotic exoskeleton robot, showcasing its versatility and potential for different applications.

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Institutions

Publication Details

Journal
Soft Science
Published
2025-01-16
DOI
https://doi.org/10.20517/ss.2024.52
Citations
9
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
6.07

Funders

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article

Calibration-free optical waveguide bending sensor for soft robots

Xiaoqing Tian, Yuxin Peng, Liang Zhong, Jianxiang Wang et al.
9 citations
Soft Science
Soft Robotics and Applications
6.07
article

Calibration-free optical waveguide bending sensor for soft robots

Xiaoqing Tian, Yuxin Peng, Liang Zhong, Jianxiang Wang, Xueyin Chen, Zhi Nie, Jiyong Wang
article en
9 citations

Abstract

Soft robots have become increasingly popular due to their compliance, deformability, and adaptability. Soft sensors, particularly bending sensors, play a crucial role in providing essential posture and position information for these robots. However, current soft bending sensors encounter difficulties in accurately measuring joint bending angles and directions under different curvatures. To address these challenges, we propose a novel dual-colored layer structured (DCLS) bending sensor based on the optical soft waveguide. The DCLS sensor is constructed using polydimethylsiloxane (PDMS) as the clear core, with red and blue layers on each side. The sensor’s performance is evaluated through experiments involving bending, compression, and impact conditions. The DCLS bending sensor exhibits excellent calibration-free properties, allowing it to effectively monitor bending angles and directions of joints of varying sizes without requiring any additional calibration. The sensor is successfully integrated into various soft robots, including a fruit sorting robot, a fish-inspired robot, and a hand orthotic exoskeleton robot, showcasing its versatility and potential for different applications.

Soft ScienceVol. 5(1)
Hangzhou Dianzi University (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Jilin Office of Philosophy and Social Science, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 4%
Soft Robotics and Applications
6.07
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Calibration-free optical waveguide bending sensor for soft robots — Xiaoqing Tian, Yuxin Peng, et al. · Soft Science (2025) | TGRS Research Map | TGRS