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Cited by 988

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Hydraulic hydrogel actuators and robots optically and sonically camouflaged in water

Open access
Yuk, Hyunwoo, Lin, Shaoting, Ma, Chu, Takaffoli, Mahdi, Fang, Nicolas X., Zhao, Xuanhe·2017·Nature Communications

Abstract

Sea animals such as leptocephali develop tissues and organs composed of active transparent hydrogels to achieve agile motions and natural camouflage in water. Hydrogel-based actuators that can imitate the capabilities of leptocephali will enable new applications in diverse fields. However, existing hydrogel actuators, mostly osmotic-driven, are intrinsically low-speed and/or low-force; and their camouflage capabilities have not been explored. Here we show that hydraulic actuations of hydrogels with designed structures and properties can give soft actuators and robots that are high-speed, high-force, and optically and sonically camouflaged in water. The hydrogel actuators and robots can maintain their robustness and functionality over multiple cycles of actuations, owing to the anti-fatigue property of the hydrogel under moderate stresses. We further demonstrate that the agile and transparent hydrogel actuators and robots perform extraordinary functions including swimming, kicking rubber-balls and even catching a live fish in water.

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Metadata

Authors
Yuk, H., Lin, S., Ma, C., Takaffoli, M., Fang, N. X., & Zhao, X.
Venue
Nature Communications
Published
2017-02-01
Volume
8
Issue
1
Pages
14230-14230
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2584350454
Cited by
988
References
4
FWCI
75.11
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Hydraulic hydrogel actuators and robots optically and sonically camouflaged in water. https://app.cochat.ai/papers/10.1038/ncomms14230
The paper
Yuk, H., Lin, S., Ma, C., Takaffoli, M., Fang, N. X., & Zhao, X. (2017). Hydraulic hydrogel actuators and robots optically and sonically camouflaged in water. Nature Communications. https://doi.org/10.1038/ncomms14230

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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