Touch-Responsive Hydrogel for Biomimetic Flytrap-Like Soft Actuator

Highlights A pioneering touch-responsive material with multiple responsiveness to touch stimulation (i.e., spatial contact with foreign object) is successfully developed. The responsive behaviors of touch-responsive hydrogel exhibit excellent controllability and designability. Based on cascade respo...

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Bibliographic Details
Published inNano-micro letters Vol. 14; no. 1; p. 182
Main Authors Wei, Junjie, Li, Rui, Li, Long, Wang, Wenqin, Chen, Tao
Format Journal Article
LanguageEnglish
Published Singapore Springer Nature Singapore 01.12.2022
Springer Nature B.V
SpringerOpen
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Summary:Highlights A pioneering touch-responsive material with multiple responsiveness to touch stimulation (i.e., spatial contact with foreign object) is successfully developed. The responsive behaviors of touch-responsive hydrogel exhibit excellent controllability and designability. Based on cascade response strategy, a flytrap-like soft actuator with touch-responsive actuation is fabricated by employing the touch-responsive hydrogel. Stimuli-responsive hydrogel is regarded as one of the most promising smart soft materials for the next-generation advanced technologies and intelligence robots, but the limited variety of stimulus has become a non-negligible issue restricting its further development. Herein, we develop a new stimulus of “touch” (i.e., spatial contact with foreign object) for smart materials and propose a flytrap-inspired touch-responsive polymeric hydrogel based on supersaturated salt solution, exhibiting multiple responsive behaviors in crystallization, heat releasing, and electric signal under touch stimulation. Furthermore, utilizing flytrap-like cascade response strategy, a soft actuator with touch-responsive actuation is fabricated by employing the touch-responsive hydrogel and the thermo-responsive hydrogel. This investigation provides a facile and versatile strategy to design touch-responsive smart materials, enabling a profound potential application in intelligence areas.
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ISSN:2311-6706
2150-5551
DOI:10.1007/s40820-022-00931-4