Micropyramid Array Bimodal Electronic Skin for Intelligent Material and Surface Shape Perception Based on Capacitive Sensing.

Autor: Niu H; RFIC Centre, Department of Electronics Engineering, NDAC Centre, Kwangwoon University, Seoul, 01897, South Korea., Wei X; School of Information Science and Engineering, University of Jinan, Jinan, 250022, China., Li H; School of Information Science and Engineering, University of Jinan, Jinan, 250022, China., Yin F; RFIC Centre, Department of Electronics Engineering, NDAC Centre, Kwangwoon University, Seoul, 01897, South Korea., Wang W; RFIC Centre, Department of Electronics Engineering, NDAC Centre, Kwangwoon University, Seoul, 01897, South Korea., Seong RS; RFIC Centre, Department of Electronics Engineering, NDAC Centre, Kwangwoon University, Seoul, 01897, South Korea., Shin YK; Department of Molecular Medicine and Biopharmaceutical Sciences, Seoul National University, Seoul, 08826, South Korea., Yao Z; College of Micro & Nano Technology, Qingdao University, Qingdao, 266071, China., Li Y; School of Microelectronics, Shandong University, Jinan, 250101, China., Kim ES; RFIC Centre, Department of Electronics Engineering, NDAC Centre, Kwangwoon University, Seoul, 01897, South Korea., Kim NY; RFIC Centre, Department of Electronics Engineering, NDAC Centre, Kwangwoon University, Seoul, 01897, South Korea.; Department of Molecular Medicine and Biopharmaceutical Sciences, Seoul National University, Seoul, 08826, South Korea.
Jazyk: angličtina
Zdroj: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2024 Jan; Vol. 11 (3), pp. e2305528. Date of Electronic Publication: 2023 Nov 29.
DOI: 10.1002/advs.202305528
Abstrakt: Developing electronic skins (e-skins) that are comparable to or even beyond human tactile perception holds significant importance in advancing the process of intellectualization. In this context, a machine-learning-motivated micropyramid array bimodal (MAB) e-skin based on capacitive sensing is reported, which enables spatial mapping applications based on bimodal sensing (proximity and pressure) implemented via fringing and iontronic effects, such as contactless measurement of 3D objects and contact recognition of Braille letters. Benefiting from the iontronic effect and single-micropyramid structure, the MAB e-skin in pressure mode yields impressive features: a maximum sensitivity of 655.3 kPa -1 (below 0.5 kPa), a linear sensitivity of 327.9 kPa -1 (0.5-15 kPa), and an ultralow limit of detection of 0.2 Pa. With the assistance of multilayer perceptron and convolutional neural network, the MAB e-skin can accurately perceive 6 materials and 10 surface shapes based on the training and learning using the collected datasets from proximity and pressure modes, thus allowing it to achieve the precise perception of different objects within one proximity-pressure cycle. The development of this MAB e-skin opens a new avenue for robotic skin and the expansion of advanced applications.
(© 2023 The Authors. Advanced Science published by Wiley-VCH GmbH.)
Databáze: MEDLINE
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