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Bioinspired soft robots for deep-sea exploration

The deep ocean, Earth’s untouched expanse, presents immense challenges for exploration due to its extreme pressure, temperature, and darkness. Unlike traditional marine robots that require specialized metallic vessels for protection, deep-sea species thrive without such cumbersome pressure-resistant...

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Autores principales: Li, Guorui, Wong, Tuck-Whye, Shih, Benjamin, Guo, Chunyu, Wang, Luwen, Liu, Jiaqi, Wang, Tao, Liu, Xiaobo, Yan, Jiayao, Wu, Baosheng, Yu, Fajun, Chen, Yunsai, Liang, Yiming, Xue, Yaoting, Wang, Chengjun, He, Shunping, Wen, Li, Tolley, Michael T., Zhang, A-Man, Laschi, Cecilia, Li, Tiefeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625581/
https://www.ncbi.nlm.nih.gov/pubmed/37925504
http://dx.doi.org/10.1038/s41467-023-42882-3
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author Li, Guorui
Wong, Tuck-Whye
Shih, Benjamin
Guo, Chunyu
Wang, Luwen
Liu, Jiaqi
Wang, Tao
Liu, Xiaobo
Yan, Jiayao
Wu, Baosheng
Yu, Fajun
Chen, Yunsai
Liang, Yiming
Xue, Yaoting
Wang, Chengjun
He, Shunping
Wen, Li
Tolley, Michael T.
Zhang, A-Man
Laschi, Cecilia
Li, Tiefeng
author_facet Li, Guorui
Wong, Tuck-Whye
Shih, Benjamin
Guo, Chunyu
Wang, Luwen
Liu, Jiaqi
Wang, Tao
Liu, Xiaobo
Yan, Jiayao
Wu, Baosheng
Yu, Fajun
Chen, Yunsai
Liang, Yiming
Xue, Yaoting
Wang, Chengjun
He, Shunping
Wen, Li
Tolley, Michael T.
Zhang, A-Man
Laschi, Cecilia
Li, Tiefeng
author_sort Li, Guorui
collection PubMed
description The deep ocean, Earth’s untouched expanse, presents immense challenges for exploration due to its extreme pressure, temperature, and darkness. Unlike traditional marine robots that require specialized metallic vessels for protection, deep-sea species thrive without such cumbersome pressure-resistant designs. Their pressure-adaptive forms, unique propulsion methods, and advanced senses have inspired innovation in designing lightweight, compact soft machines. This perspective addresses challenges, recent strides, and design strategies for bioinspired deep-sea soft robots. Drawing from abyssal life, it explores the actuation, sensing, power, and pressure resilience of multifunctional deep-sea soft robots, offering game-changing solutions for profound exploration and operation in harsh conditions.
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spelling pubmed-106255812023-11-06 Bioinspired soft robots for deep-sea exploration Li, Guorui Wong, Tuck-Whye Shih, Benjamin Guo, Chunyu Wang, Luwen Liu, Jiaqi Wang, Tao Liu, Xiaobo Yan, Jiayao Wu, Baosheng Yu, Fajun Chen, Yunsai Liang, Yiming Xue, Yaoting Wang, Chengjun He, Shunping Wen, Li Tolley, Michael T. Zhang, A-Man Laschi, Cecilia Li, Tiefeng Nat Commun Perspective The deep ocean, Earth’s untouched expanse, presents immense challenges for exploration due to its extreme pressure, temperature, and darkness. Unlike traditional marine robots that require specialized metallic vessels for protection, deep-sea species thrive without such cumbersome pressure-resistant designs. Their pressure-adaptive forms, unique propulsion methods, and advanced senses have inspired innovation in designing lightweight, compact soft machines. This perspective addresses challenges, recent strides, and design strategies for bioinspired deep-sea soft robots. Drawing from abyssal life, it explores the actuation, sensing, power, and pressure resilience of multifunctional deep-sea soft robots, offering game-changing solutions for profound exploration and operation in harsh conditions. Nature Publishing Group UK 2023-11-04 /pmc/articles/PMC10625581/ /pubmed/37925504 http://dx.doi.org/10.1038/s41467-023-42882-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Perspective
Li, Guorui
Wong, Tuck-Whye
Shih, Benjamin
Guo, Chunyu
Wang, Luwen
Liu, Jiaqi
Wang, Tao
Liu, Xiaobo
Yan, Jiayao
Wu, Baosheng
Yu, Fajun
Chen, Yunsai
Liang, Yiming
Xue, Yaoting
Wang, Chengjun
He, Shunping
Wen, Li
Tolley, Michael T.
Zhang, A-Man
Laschi, Cecilia
Li, Tiefeng
Bioinspired soft robots for deep-sea exploration
title Bioinspired soft robots for deep-sea exploration
title_full Bioinspired soft robots for deep-sea exploration
title_fullStr Bioinspired soft robots for deep-sea exploration
title_full_unstemmed Bioinspired soft robots for deep-sea exploration
title_short Bioinspired soft robots for deep-sea exploration
title_sort bioinspired soft robots for deep-sea exploration
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625581/
https://www.ncbi.nlm.nih.gov/pubmed/37925504
http://dx.doi.org/10.1038/s41467-023-42882-3
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