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Biology and bioinspiration of soft robotics: Actuation, sensing, and system integration
Organisms in nature grow with senses, nervous, and actuation systems coordinated in ingenious ways to sustain metabolism and other essential life activities. The understanding of biological structures and functions guide the construction of soft robotics with unprecedented performances. However, des...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449090/ https://www.ncbi.nlm.nih.gov/pubmed/34568796 http://dx.doi.org/10.1016/j.isci.2021.103075 |
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author | Ren, Luquan Li, Bingqian Wei, Guowu Wang, Kunyang Song, Zhengyi Wei, Yuyang Ren, Lei Qingping Liu |
author_facet | Ren, Luquan Li, Bingqian Wei, Guowu Wang, Kunyang Song, Zhengyi Wei, Yuyang Ren, Lei Qingping Liu |
author_sort | Ren, Luquan |
collection | PubMed |
description | Organisms in nature grow with senses, nervous, and actuation systems coordinated in ingenious ways to sustain metabolism and other essential life activities. The understanding of biological structures and functions guide the construction of soft robotics with unprecedented performances. However, despite the progress in soft robotics, there still remains a big gap between man-made soft robotics and natural lives in terms of autonomy, adaptability, self-repair, durability, energy efficiency, etc. Here, the actuation and sensing strategies in the natural biological world are summarized along with their man-made counterparts applied in soft robotics. The development trends of bioinspired soft robotics toward closed loop and embodiment are proposed. Challenges for obtaining autonomous soft robotics similar to natural organisms are outlined to provide a perspective in this field. |
format | Online Article Text |
id | pubmed-8449090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84490902021-09-24 Biology and bioinspiration of soft robotics: Actuation, sensing, and system integration Ren, Luquan Li, Bingqian Wei, Guowu Wang, Kunyang Song, Zhengyi Wei, Yuyang Ren, Lei Qingping Liu iScience Review Organisms in nature grow with senses, nervous, and actuation systems coordinated in ingenious ways to sustain metabolism and other essential life activities. The understanding of biological structures and functions guide the construction of soft robotics with unprecedented performances. However, despite the progress in soft robotics, there still remains a big gap between man-made soft robotics and natural lives in terms of autonomy, adaptability, self-repair, durability, energy efficiency, etc. Here, the actuation and sensing strategies in the natural biological world are summarized along with their man-made counterparts applied in soft robotics. The development trends of bioinspired soft robotics toward closed loop and embodiment are proposed. Challenges for obtaining autonomous soft robotics similar to natural organisms are outlined to provide a perspective in this field. Elsevier 2021-09-01 /pmc/articles/PMC8449090/ /pubmed/34568796 http://dx.doi.org/10.1016/j.isci.2021.103075 Text en © 2021. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Ren, Luquan Li, Bingqian Wei, Guowu Wang, Kunyang Song, Zhengyi Wei, Yuyang Ren, Lei Qingping Liu Biology and bioinspiration of soft robotics: Actuation, sensing, and system integration |
title | Biology and bioinspiration of soft robotics: Actuation, sensing, and system integration |
title_full | Biology and bioinspiration of soft robotics: Actuation, sensing, and system integration |
title_fullStr | Biology and bioinspiration of soft robotics: Actuation, sensing, and system integration |
title_full_unstemmed | Biology and bioinspiration of soft robotics: Actuation, sensing, and system integration |
title_short | Biology and bioinspiration of soft robotics: Actuation, sensing, and system integration |
title_sort | biology and bioinspiration of soft robotics: actuation, sensing, and system integration |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449090/ https://www.ncbi.nlm.nih.gov/pubmed/34568796 http://dx.doi.org/10.1016/j.isci.2021.103075 |
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