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Biology and bioinspiration of soft robotics : actuation, sensing, and system integration

Ren, L; Li, B; Wei, G; Wang, K; Song, Z; Wei, Y; Ren, L; Liu, Q

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Authors

L Ren

B Li

K Wang

Z Song

Y Wei

L Ren

Q Liu



Abstract

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. [Abstract copyright: © 2021.]

Citation

Ren, L., Li, B., Wei, G., Wang, K., Song, Z., Wei, Y., …Liu, Q. (2021). Biology and bioinspiration of soft robotics : actuation, sensing, and system integration. iScience, 24(9), 103075. https://doi.org/10.1016/j.isci.2021.103075

Journal Article Type Article
Online Publication Date Sep 1, 2021
Publication Date Sep 24, 2021
Deposit Date Oct 12, 2021
Publicly Available Date Oct 12, 2021
Journal iScience
Print ISSN 2589-0042
Publisher Cell Press
Volume 24
Issue 9
Pages 103075
DOI https://doi.org/10.1016/j.isci.2021.103075
Publisher URL https://doi.org/10.1016/j.isci.2021.103075
Related Public URLs http://www.cell.com/iscience/home
Additional Information Additional Information : ** From PubMed via Jisc Publications Router **Journal IDs: eissn 2589-0042 **Article IDs: pubmed: 34568796; pii: S2589-0042(21)01043-9; pmc: PMC8449090 **History: published 01-09-2021
Funders : National Natural Science Foundation of China;National Key Research and Development Program of China
Projects : 91848204;91948302
Grant Number: 91848204 and 91948302
Grant Number: 2018YFC2001300

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