Robust Flexible Pressure Sensors Made from Conductive Micropyramids for Manipulation Tasks

Flexible pressure sensors that can robustly mimic the function of slow-adapting type I (SA-I) mechanoreceptors are essential for realizing human-like object manipulation in artificial intelligent (AI) robots or amputees. Here, we report a straightforward approach to highly sensitive and robust flexi...

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Veröffentlicht in:ACS nano 2020-10, Vol.14 (10), p.12866-12876
Hauptverfasser: Ma, Chao, Xu, Dong, Huang, Yun-Chiao, Wang, Peiqi, Huang, Jin, Zhou, Jingyuan, Liu, Wenfeng, Li, Sheng-Tao, Huang, Yu, Duan, Xiangfeng
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container_end_page 12876
container_issue 10
container_start_page 12866
container_title ACS nano
container_volume 14
creator Ma, Chao
Xu, Dong
Huang, Yun-Chiao
Wang, Peiqi
Huang, Jin
Zhou, Jingyuan
Liu, Wenfeng
Li, Sheng-Tao
Huang, Yu
Duan, Xiangfeng
description Flexible pressure sensors that can robustly mimic the function of slow-adapting type I (SA-I) mechanoreceptors are essential for realizing human-like object manipulation in artificial intelligent (AI) robots or amputees. Here, we report a straightforward approach to highly sensitive and robust flexible pressure sensors with fast response time and low operating voltage based on conductive micropyramids made of polydimethylsiloxane/carbon nanotube composites. Both numerical simulations and experimental studies show that the pressure-sensing properties of the devices can be systematically tuned by the spatial arrangement of micropyramids. In particular, by tailoring the ratio between the spacing and the pyramidal base length, the optimal pressure sensors can be achieved with a combination of high sensitivity in both low-pressure (
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The optimized pressure sensor is further used for constructing a wearable pressure-sensing system that can convert the amplitude of pressure to wirelessly transmittable frequency signals (spikes) with nearly linear response, closely mimicking SA-I mechanoreceptors. 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title Robust Flexible Pressure Sensors Made from Conductive Micropyramids for Manipulation Tasks
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