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

Summary: 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. How...

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Main Authors: Luquan Ren, Bingqian Li, Guowu Wei, Kunyang Wang, Zhengyi Song, Yuyang Wei, Lei Ren, Qingping Liu
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:iScience
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004221010439
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author Luquan Ren
Bingqian Li
Guowu Wei
Kunyang Wang
Zhengyi Song
Yuyang Wei
Lei Ren
Qingping Liu
author_facet Luquan Ren
Bingqian Li
Guowu Wei
Kunyang Wang
Zhengyi Song
Yuyang Wei
Lei Ren
Qingping Liu
author_sort Luquan Ren
collection DOAJ
description Summary: 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.
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spelling doaj.art-45346b8c32164f8495ce698859bf54262022-12-21T22:08:20ZengElsevieriScience2589-00422021-09-01249103075Biology and bioinspiration of soft robotics: Actuation, sensing, and system integrationLuquan Ren0Bingqian Li1Guowu Wei2Kunyang Wang3Zhengyi Song4Yuyang Wei5Lei Ren6 Qingping Liu7Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun 130022, ChinaKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun 130022, ChinaSchool of Science, Engineering and Environment, University of Salford, M5 4WT Salford, UKKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun 130022, ChinaKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun 130022, ChinaSchool of Mechanical, Aerospace and Civil Engineering, University of Manchester, M13 9PL Manchester, UKKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun 130022, China; School of Mechanical, Aerospace and Civil Engineering, University of Manchester, M13 9PL Manchester, UK; Corresponding authorKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun 130022, China; Corresponding authorSummary: 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.http://www.sciencedirect.com/science/article/pii/S2589004221010439
spellingShingle Luquan Ren
Bingqian Li
Guowu Wei
Kunyang Wang
Zhengyi Song
Yuyang Wei
Lei Ren
Qingping Liu
Biology and bioinspiration of soft robotics: Actuation, sensing, and system integration
iScience
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
url http://www.sciencedirect.com/science/article/pii/S2589004221010439
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