Bionic e-skin with precise multi-directional droplet sliding sensing for enhanced robotic perception

Yunlong Xu, Zhongda Sun, Zhiqing Bai (), Hua Shen, Run Wen, Fumei Wang, Guangbiao Xu () and Chengkuo Lee ()
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Yunlong Xu: Donghua University
Zhongda Sun: National University of Singapore
Zhiqing Bai: Chinese Academy of Sciences
Hua Shen: Donghua University
Run Wen: Donghua University
Fumei Wang: Donghua University
Guangbiao Xu: Donghua University
Chengkuo Lee: National University of Singapore

Nature Communications, 2024, vol. 15, issue 1, 1-12

Abstract: Abstract Electronic skins with deep and comprehensive liquid information detection are desired to endow intelligent robotic devices with augmented perception and autonomous regulation in common droplet environments. At present, one technical limitation of electronic skins is the inability to perceive the liquid sliding information as realistically as humans and give feedback in time. To this critical challenge, in this work, a self-powered bionic droplet electronic skin is proposed by constructing an ingenious co-layer interlaced electrode network and using an overpass connection method. The bionic skin is used for droplet environment reconnaissance and converts various dynamic droplet sliding behaviors into electrical signals based on triboelectricity. More importantly, the two-dimensional sliding behavior of liquid droplets is comprehensively perceived by the e-skin and visually fed back in real-time on an indicator. Furthermore, the flow direction warning and intelligent closed-loop control of water leakage are also achieved by this e-skin, achieving the effect of human neuromodulation. This strategy compensates for the limitations of e-skin sensing droplets and greatly narrows the gap between artificial e-skins and human skins in perceiving functions.

Date: 2024
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DOI: 10.1038/s41467-024-50270-8

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