Bioinspired Soft Robots Based on the Moisture‐Responsive Graphene Oxide

Autor: Yu‐Qing Liu, Zhao‐Di Chen, Dong‐Dong Han, Jiang‐Wei Mao, Jia‐Nan Ma, Yong‐Lai Zhang, Hong‐Bo Sun
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Advanced Science, Vol 8, Iss 10, Pp n/a-n/a (2021)
Druh dokumentu: article
ISSN: 2198-3844
DOI: 10.1002/advs.202002464
Popis: Abstract Graphene oxide (GO), which has many oxygen functional groups, is a promising candidate for use in moisture‐responsive sensors and actuators due to the strong water–GO interaction and the ultrafast transport of water molecules within the stacked GO sheets. In the last 5 years, moisture‐responsive actuators based on GO have shown distinct advantages over other stimuli‐responsive materials and devices. Particularly, inspired by nature organisms, various moisture‐enabled soft robots have been successfully developed via rational assembly of the GO‐based actuators. Herein, the milestones in the development of moisture‐responsive soft robots based on GO are summarized. In addition, the working mechanisms, design principles, current achievement, and prospects are also comprehensively reviewed. In particular, the GO‐based soft robots are at the forefront of the advancement of automatable smart devices.
Databáze: Directory of Open Access Journals
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