Ren, L, Li, B, Wei, G 
ORCID: https://orcid.org/0000-0003-2613-902X, Wang, K, Song, Z, Wei, Y, Ren, L and Liu, Q
2021,
'Biology and bioinspiration of soft robotics : actuation, sensing, and system integration'
, iScience, 24 (9)
, p. 103075.
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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.]
| Item Type: | Article |
|---|---|
| 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 |
| Schools: | Schools > School of Computing, Science and Engineering |
| Journal or Publication Title: | iScience |
| Publisher: | Elsevier/Cell Press |
| ISSN: | 2589-0042 |
| Related URLs: | |
| Funders: | National Natural Science Foundation of China, National Key Research and Development Program of China |
| SWORD Depositor: | Publications Router |
| Depositing User: | Publications Router |
| Date Deposited: | 12 Oct 2021 12:53 |
| Last Modified: | 15 Feb 2022 17:19 |
| URI: | http://usir.salford.ac.uk/id/eprint/62038 |
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