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

Journal: Nature communications
Published Date:

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.

Authors

  • Yunlong Xu
    Key Laboratory of Textile Science & Technology, Ministry of Education, College of Textiles, Donghua University, Shanghai, China.
  • Zhongda Sun
    Department of Electrical & Computer Engineering, National University of Singapore, Singapore, 117576, Singapore.
  • Zhiqing Bai
    Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China. zqbai2023@sinano.ac.cn.
  • Hua Shen
    Zhejiang Liangzhu Compulsory Isolated Detoxification Center, Hangzhou, China.
  • Run Wen
    Key Laboratory of Textile Science & Technology, Ministry of Education, College of Textiles, Donghua University, Shanghai, China.
  • Fumei Wang
    Key Laboratory of Textile Science & Technology, Ministry of Education, College of Textiles, Donghua University, Shanghai, China.
  • Guangbiao Xu
    Key Laboratory of Textile Science & Technology, Ministry of Education, College of Textiles, Donghua University, Shanghai, China. guangbiao_xu@dhu.edu.cn.
  • Chengkuo Lee
    Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore. elelc@nus.edu.sg.