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Cited by 434

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

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

Niu, Hongsen, Li, Hao, Gao, Song, Li, Yang, Wei, Xiao, Chen, Yuke, Yue, Wenjing, Zhou, Weijia, Shen, Guozhen·2022·Advanced Materials

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.

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Metadata

Authors
Niu, H., Li, H., Gao, S., Li, Y., Wei, X., Chen, Y., Yue, W., Zhou, W., & Shen, G.
Venue
Advanced Materials
Publisher
Wiley
Published
2022-06-22
Volume
34
Issue
31
Pages
e2202622-e2202622
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W4282025839
Cited by
434
References
39
FWCI
25.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Perception‐to‐Cognition Tactile Sensing Based on Artificial‐Intelligence‐Motivated Human Full‐Skin Bionic Electronic Skin. https://app.cochat.ai/papers/10.1002/adma.202202622
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Niu, H., Li, H., Gao, S., Li, Y., Wei, X., Chen, Y., Yue, W., Zhou, W., & Shen, G. (2022). Perception‐to‐Cognition Tactile Sensing Based on Artificial‐Intelligence‐Motivated Human Full‐Skin Bionic Electronic Skin. Advanced Materials. https://doi.org/10.1002/adma.202202622

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