Gyeonghwa Heo, Jusouk Yoon, Jeonghwa Jeong, Young Woo Kwon, Suck Won Hong
{"title":"Deep Learning–Powered Robust Tactile Perception: Bridging Graphene Electronic Skin and Dynamic Decoding","authors":"Gyeonghwa Heo, Jusouk Yoon, Jeonghwa Jeong, Young Woo Kwon, Suck Won Hong","doi":"10.1002/aisy.70004","DOIUrl":null,"url":null,"abstract":"<p><b>Deep Learning–Powered Robust Tactile Perception</b>\n </p><p>In article number 2400909, Suck Won Hong, Gyeonghwa Heo, Jusouk Yoon, and co-workers introduce the convergence of engineering, human touch, deep learning, and robotics through laser-induced graphene-based electronic skin (e-skin). As a human finger engages with the e-skin interface, the robotic hand interprets the input as tactile data, transforming human-robot interaction and enhancing precision in intelligent interfaces for medical device operation and beyond.\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 6","pages":""},"PeriodicalIF":6.8000,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70004","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/aisy.70004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Deep Learning–Powered Robust Tactile Perception
In article number 2400909, Suck Won Hong, Gyeonghwa Heo, Jusouk Yoon, and co-workers introduce the convergence of engineering, human touch, deep learning, and robotics through laser-induced graphene-based electronic skin (e-skin). As a human finger engages with the e-skin interface, the robotic hand interprets the input as tactile data, transforming human-robot interaction and enhancing precision in intelligent interfaces for medical device operation and beyond.