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Bioinspired Soft Robotics: How Do We Learn From Creatures?

delete2024-01-01
delete16
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OA
AI
Y
Yang Yang
Z
Zhiguo He
P
Pengcheng Jiao
H
Hongliang Ren *
DOI:10.1109/RBME.2022.3210015delete
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摘要

摘要

En 中文
Soft robotics has opened a unique path to flexibility and environmental adaptability, learning from nature and reproducing biological behaviors. Nature implies answers for how to apply robots to real life. To find out how we learn from creatures to design and apply soft robots, in this Review, we propose a classification method to summarize soft robots based on different functions of biological systems: self-growing, self-healing, self-responsive, and self-circulatory. The bio-function based classification logic is presented to explain why we learn from creatures. State-of-art technologies, characteristics, pros, cons, challenges, and potential applications of these categories are analyzed to illustrate what we learned from creatures. By intersecting these categories, the existing and potential bio-inspired applications are overviewed and outlooked to finally find the answer, that is, how we learn from creatures.
Keyword:
Soft robotics
bioinspirations
materials

期刊

IEEE Reviews in Biomedical Engineering 封面图
IEEE Reviews in Biomedical Engineering
IF:
12
论文数:
185
被引数:
3.1K

机构

C
Chinese University of Hong Kong
学者数:
3.4W
论文数: 3.2W
被引数: 5.6W
Z
zhejiang university
学者数:
17.7W
论文数: 12.1W
被引数: 152
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引用论文

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