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A Hydrogel-Based Self-Sensing Underwater Actuator

Soft robots made of hydrogels are suited for underwater exploration due to their biocompatibility and compliancy. Yet, reaching high dexterity and actuation force for hydrogel-based actuators is challenging. Meanwhile, real-time proprioception is critical for feedback control. Moreover, sensor integ...

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Autores principales: Wang, Shuyu, Sun, Zhaojia, Duan, Shuaiyang, Zhao, Yuliang, Sha, Xiaopeng, Yu, Shifeng, Zuo, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611511/
https://www.ncbi.nlm.nih.gov/pubmed/36296132
http://dx.doi.org/10.3390/mi13101779
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author Wang, Shuyu
Sun, Zhaojia
Duan, Shuaiyang
Zhao, Yuliang
Sha, Xiaopeng
Yu, Shifeng
Zuo, Lei
author_facet Wang, Shuyu
Sun, Zhaojia
Duan, Shuaiyang
Zhao, Yuliang
Sha, Xiaopeng
Yu, Shifeng
Zuo, Lei
author_sort Wang, Shuyu
collection PubMed
description Soft robots made of hydrogels are suited for underwater exploration due to their biocompatibility and compliancy. Yet, reaching high dexterity and actuation force for hydrogel-based actuators is challenging. Meanwhile, real-time proprioception is critical for feedback control. Moreover, sensor integration to mimic living organisms remains problematic. To address these challenges, we introduce a hydrogel actuator driven by hydraulic force with a fast response (time constant 0.83 s). The highly stretchable and conductive hydrogel (1400% strain) is molded into the PneuNet shape, and two of them are further assembled symmetrically to actuate bi-directionally. Then, we demonstrate its bionic application for underwater swimming, showing 2 cm/s (0.19 BL/s) speed. Inspired by biological neuromuscular systems’ sensory motion, which unifies the sensing and actuation in a single unit, we explore the hydrogel actuator’s self-sensing capacity utilizing strain-induced resistance change. The results show that the soft actuator’s proprioception can monitor the undulation in real-time with a sensitivity of 0.2%/degree. Furthermore, we take a finite-element method and first-order differential equations to model the actuator’s bending in response to pressure. We show that such a model can precisely predict the robot’s bending response over a range of pressures. With the self-sensing actuator and the proposed model, we expect the new approach can lead to future soft robots for underwater exploration with feedback control, and the underlying mechanism of the undulation control might offer significant insights for biomimetic research.
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spelling pubmed-96115112022-10-28 A Hydrogel-Based Self-Sensing Underwater Actuator Wang, Shuyu Sun, Zhaojia Duan, Shuaiyang Zhao, Yuliang Sha, Xiaopeng Yu, Shifeng Zuo, Lei Micromachines (Basel) Article Soft robots made of hydrogels are suited for underwater exploration due to their biocompatibility and compliancy. Yet, reaching high dexterity and actuation force for hydrogel-based actuators is challenging. Meanwhile, real-time proprioception is critical for feedback control. Moreover, sensor integration to mimic living organisms remains problematic. To address these challenges, we introduce a hydrogel actuator driven by hydraulic force with a fast response (time constant 0.83 s). The highly stretchable and conductive hydrogel (1400% strain) is molded into the PneuNet shape, and two of them are further assembled symmetrically to actuate bi-directionally. Then, we demonstrate its bionic application for underwater swimming, showing 2 cm/s (0.19 BL/s) speed. Inspired by biological neuromuscular systems’ sensory motion, which unifies the sensing and actuation in a single unit, we explore the hydrogel actuator’s self-sensing capacity utilizing strain-induced resistance change. The results show that the soft actuator’s proprioception can monitor the undulation in real-time with a sensitivity of 0.2%/degree. Furthermore, we take a finite-element method and first-order differential equations to model the actuator’s bending in response to pressure. We show that such a model can precisely predict the robot’s bending response over a range of pressures. With the self-sensing actuator and the proposed model, we expect the new approach can lead to future soft robots for underwater exploration with feedback control, and the underlying mechanism of the undulation control might offer significant insights for biomimetic research. MDPI 2022-10-19 /pmc/articles/PMC9611511/ /pubmed/36296132 http://dx.doi.org/10.3390/mi13101779 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Shuyu
Sun, Zhaojia
Duan, Shuaiyang
Zhao, Yuliang
Sha, Xiaopeng
Yu, Shifeng
Zuo, Lei
A Hydrogel-Based Self-Sensing Underwater Actuator
title A Hydrogel-Based Self-Sensing Underwater Actuator
title_full A Hydrogel-Based Self-Sensing Underwater Actuator
title_fullStr A Hydrogel-Based Self-Sensing Underwater Actuator
title_full_unstemmed A Hydrogel-Based Self-Sensing Underwater Actuator
title_short A Hydrogel-Based Self-Sensing Underwater Actuator
title_sort hydrogel-based self-sensing underwater actuator
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611511/
https://www.ncbi.nlm.nih.gov/pubmed/36296132
http://dx.doi.org/10.3390/mi13101779
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