Artificial tactile perception enabled by triboelectric effect

Artificial tactile receptors based on triboelectric nanogenerators (TENGs) hold great promise due to their high sensitivity and active pressure sensing. In this Perspective, we summarize the working mechanisms of triboelectric tactile sensors, highlighting their applications in pressure and sliding perception. Additionally, tribotronic transistors based on TENGs and synaptic transistors have attracted attention due to their neuromorphic computing capabilities for tactile information. The working mechanisms of tribotronic transistors are divided into the triboelectric potential model and the triboelectric electron transfer model. The physical mechanisms by which pressure and sliding forces change the channel conductance states of tribotronic transistors are analyzed in detail. Applications of tactile information perception and modal identification based on tribotronic transistors are presented to show their potential in near-sensor computing. Finally, the challenges faced by TENGs in large-scale tactile information perception and recognition are further discussed.

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Publication Details

Journal
Applied Physics Letters
Published
2025-05-19
DOI
https://doi.org/10.1063/5.0257438
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Artificial tactile perception enabled by triboelectric effect

Xuhui Sun, Zhen Wen, Jiayi Wang, Yihan Wei et al.
Applied Physics Letters
Advanced Sensor and Energy Harvesting Materials
article

Artificial tactile perception enabled by triboelectric effect

Xuhui Sun, Zhen Wen, Jiayi Wang, Yihan Wei, Hao Lei
article en

Abstract

Artificial tactile receptors based on triboelectric nanogenerators (TENGs) hold great promise due to their high sensitivity and active pressure sensing. In this Perspective, we summarize the working mechanisms of triboelectric tactile sensors, highlighting their applications in pressure and sliding perception. Additionally, tribotronic transistors based on TENGs and synaptic transistors have attracted attention due to their neuromorphic computing capabilities for tactile information. The working mechanisms of tribotronic transistors are divided into the triboelectric potential model and the triboelectric electron transfer model. The physical mechanisms by which pressure and sliding forces change the channel conductance states of tribotronic transistors are analyzed in detail. Applications of tactile information perception and modal identification based on tribotronic transistors are presented to show their potential in near-sensor computing. Finally, the challenges faced by TENGs in large-scale tactile information perception and recognition are further discussed.

Applied Physics LettersVol. 126(20)
University of Liverpool (GB), Soochow University (CN), Xi’an Jiaotong-Liverpool University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 90%
Advanced Sensor and Energy Harvesting Materials
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Artificial tactile perception enabled by triboelectric effect — Xuhui Sun, Zhen Wen, et al. · Applied Physics Letters (2025) | TGRS Research Map | TGRS