Article intro - Bioinspired soft robotics
Abstract
Soft robotics has opened a unique path to flex- ibility and environmental adaptability, learning from nature and reproducing biological behaviors. Nature implies an- swers 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 sys- tems: 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.
Key Terms—Soft robotics, bioinspirations, materials.
Source: IEEE Xplore
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