김은성 (광운대학교) | 한빛사논문 > 한빛사

한빛사논문

조회380

광운대학교

Adv. Sci., Nov 29 2023, | https://doi.org/10.1002/advs.202305528 Micropyramid Array Bimodal Electronic Skin for Intelligent Material and Surface Shape Perception Based on Capacitive Sensing

Hongsen Niu ¹, Xiao Wei ², Hao Li ², Feifei Yin ¹, Wenxiao Wang¹, Ryun-Sang Seong ¹, Young Kee Shin ³, Zhao Yao ⁴, Yang Li ⁵, Eun-Seong Kim ¹, Nam-Young Kim^1,3

¹RFIC Centre, Department of Electronics Engineering, NDAC Centre, Kwangwoon University, Seoul, 01897, South Korea.

²School of Information Science and Engineering, University of Jinan, Jinan, 250022, China.

³Department of Molecular Medicine and Biopharmaceutical Sciences, Seoul National University, Seoul, 08826, South Korea.

⁴College of Micro & Nano Technology, Qingdao University, Qingdao, 266071, China.

⁵School of Microelectronics, Shandong University, Jinan, 250101, China.

H.N. and X.W. contributed equally to this work.

CORRESPONDING AUTHORS: Yang Li, Eun-Seong Kim, Nam-Young Kim

Abstract

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.

논문정보

형식Research article
게재일2023년 11월 (BRIC 등록일 2023-12-06)
연구진국내(교신)+국외 연구진
분야 바이오·의료융합 > 바이오센싱 및 나노바이오물질

댓글 작성 로그인

CV 열람하기

연락처 보기