{"title":"A tactile sensor for recognition of softness using interlocking structure of carbon nanoparticle- polydimethylsiloxane composite","authors":"Sangmin Lee, Jaewon Jang, Wanjun Park","doi":"10.1016/j.snr.2025.100289","DOIUrl":null,"url":null,"abstract":"<div><div>This study introduces a novel tactile sensor designed with an interlocking structure of polydimethylsiloxane (PDMS) embedded with carbon nanoparticles (CNP), aimed at enhancing the detection and differentiation of material softness. This sensor emulates the human tactile sense by detecting softness through measuring not only the pressure applied but also the transient state during material deformation to reach the indentation depth, thus providing a comprehensive softness profile. Our results reveal that the sensor effectively recognizes softness across a variety of materials and working environments, considering tolerances against operational variations. This is supported by tests conducted using a one-dimensional convolutional neural network (1D-CNN).</div></div>","PeriodicalId":426,"journal":{"name":"Sensors and Actuators Reports","volume":"9 ","pages":"Article 100289"},"PeriodicalIF":6.5000,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensors and Actuators Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666053925000098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This study introduces a novel tactile sensor designed with an interlocking structure of polydimethylsiloxane (PDMS) embedded with carbon nanoparticles (CNP), aimed at enhancing the detection and differentiation of material softness. This sensor emulates the human tactile sense by detecting softness through measuring not only the pressure applied but also the transient state during material deformation to reach the indentation depth, thus providing a comprehensive softness profile. Our results reveal that the sensor effectively recognizes softness across a variety of materials and working environments, considering tolerances against operational variations. This is supported by tests conducted using a one-dimensional convolutional neural network (1D-CNN).
期刊介绍:
Sensors and Actuators Reports is a peer-reviewed open access journal launched out from the Sensors and Actuators journal family. Sensors and Actuators Reports is dedicated to publishing new and original works in the field of all type of sensors and actuators, including bio-, chemical-, physical-, and nano- sensors and actuators, which demonstrates significant progress beyond the current state of the art. The journal regularly publishes original research papers, reviews, and short communications.
For research papers and short communications, the journal aims to publish the new and original work supported by experimental results and as such purely theoretical works are not accepted.