TY - JOUR
T1 - Bio-inspired organic electrosense transistor for impalpable perception
AU - Wang, Cong
AU - Li, Jiaofu
AU - Li, Xufan
AU - Li, Wenlong
AU - Li, Yanzhen
AU - Huang, Yinan
AU - Wang, Changxian
AU - Liu, Zhihua
AU - Wang, Ming
AU - Chen, Nuan
AU - Chen, Mingxi
AU - Pan, Liang
AU - Zhang, Feilong
AU - Bi, Jinshun
AU - Li, Liqiang
AU - Hu, Wenping
AU - Chen, Xiaodong
N1 - Publisher Copyright:
Copyright © 2025 The Authors, some rights reserved.
PY - 2025/3/21
Y1 - 2025/3/21
N2 - Artificial sense technologies predominantly rely on visual and tactile input, which often prove inadequate in obscured or opaque environments. Inspired by the natural electrosensory capabilities of electrogenic fishes, we introduce an organic electrosense transistor designed to detect electric fields generated by nearby objects, facilitating the creation of impalpable perception systems. Unlike traditional sensors, our electrosense transistor perceives bipolar electric fields with high sensitivity and stability. We use compact models and device simulations to elucidate the mechanisms of charge induction and transport within organic electrosense transistors when exposed to spatial electric fields. Demonstrating its practical utility, we show that robots equipped with our electrosense transistor can successfully navigate and detect concealed objects without requiring direct contact. This work not only advances the understanding of charge dynamics in electrosensory systems but also establishes a platform for developing highly sensitive, noninvasive artificial sensing technologies applicable in surveillance, search and rescue, and other challenging environments.
AB - Artificial sense technologies predominantly rely on visual and tactile input, which often prove inadequate in obscured or opaque environments. Inspired by the natural electrosensory capabilities of electrogenic fishes, we introduce an organic electrosense transistor designed to detect electric fields generated by nearby objects, facilitating the creation of impalpable perception systems. Unlike traditional sensors, our electrosense transistor perceives bipolar electric fields with high sensitivity and stability. We use compact models and device simulations to elucidate the mechanisms of charge induction and transport within organic electrosense transistors when exposed to spatial electric fields. Demonstrating its practical utility, we show that robots equipped with our electrosense transistor can successfully navigate and detect concealed objects without requiring direct contact. This work not only advances the understanding of charge dynamics in electrosensory systems but also establishes a platform for developing highly sensitive, noninvasive artificial sensing technologies applicable in surveillance, search and rescue, and other challenging environments.
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U2 - 10.1126/sciadv.ads7457
DO - 10.1126/sciadv.ads7457
M3 - Article
AN - SCOPUS:105000834562
SN - 2375-2548
VL - 11
JO - Science advances
JF - Science advances
IS - 12
M1 - eads7457
ER -