Perception-to-Cognition Tactile Sensing Based on Artificial-Intelligence-Motivated Human Full-Skin Bionic Electronic Skin

Hongsen Niu, Hao Li, Song Gao, Yang Li*, Xiao Wei, Yuke Chen, Wenjing Yue, Weijia Zhou, Guozhen Shen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

364 Citations (Scopus)

Abstract

Traditional electronic skin (e-skin), due to the lack of human-brain-like thinking and judging capability, is powerless to accelerate the pace to the intelligent era. Herein, artificial intelligence (AI)-motivated full-skin bionic (FSB) e-skin consisting of the structures of human vellus hair, epidermis–dermis–hypodermis, is proposed. Benefiting from the double interlocked layered microcone structure and supercapacitive iontronic effect, the FSB e-skin exhibits ultrahigh sensitivity of 8053.1 kPa−1 (<1 kPa), linear sensitivity of 3103.5 kPa−1 (1–34 kPa), and fast response/recovery time of <5.6 ms. In addition, it can realize the evolution from tactile perception to advanced intelligent tactile cognition after being equipped with a “brain”. First, static/dynamic contactless tactile perception is achieved based on the triboelectric effect of the vellus hair bionics. Second, the supercapacitive iontronic effect based structural bionics of the epidermis–dermis–hypodermis and a five-layer multilayer perception (MLP) enable the general intelligent tactile cognition of gesture cognition and robot interaction. Most importantly, by making full use of the FSB e-skin with a six-layer MLP neural network, an advanced intelligent material cognition system is developed for real-time cognition of the object material species and locations via one contact, which surpasses the capability of humans.

Original languageEnglish
Article number2202622
JournalAdvanced Materials
Volume34
Issue number31
DOIs
Publication statusPublished - 4 Aug 2022

Keywords

  • artificial intelligence
  • bionic structures
  • electronic skin
  • tactile cognition
  • tactile perception

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