000145155 001__ 145155
000145155 005__ 20241220120715.0
000145155 0247_ $$2doi$$a10.1109/JSEN.2024.3443615
000145155 0248_ $$2sideral$$a140005
000145155 037__ $$aART-2024-140005
000145155 041__ $$aeng
000145155 100__ $$aBacher, Emmanuel
000145155 245__ $$aOptoSkin: novel LIDAR touch sensors for detection of touch and pressure within wave guides
000145155 260__ $$c2024
000145155 5060_ $$aAccess copy available to the general public$$fUnrestricted
000145155 5203_ $$aLight Detection and Ranging (LIDAR) sensors, employing direct Time-of-Flight (dTOF) measurements, are crucial for precise surface localization and are increasingly integrated into compact chip designs. These sensors have extensive use in proximity sensing in various applications. This paper presents the innovative use of LIDAR sensors for ranging within wave guides to accurately detect touch and pressure. In our OptoSkin sensors, light propagates via total internal reflection (TIR) within the wave guide. Then it is reflected back to the sensor as a result of wave guide deformation and/or scattering in the contact area, a phenomenon attributed to frustrated total internal reflection (FTIR). We have designed, simulated, and implemented different OptoSkin sensors using wave guides constructed from a flexible rod, rigid curved 3D printed resin, and planar soft silicone rubber, respectively. Each configuration is equipped with multiple LIDAR sensors, demonstrating effective localization of touch points. In addition, pressure sensing was performed on the elastic wave guides. These novel touch sensors show great potential for applications such as robotic sensor skins, which enhance tactile responsiveness and interaction.
000145155 536__ $$9info:eu-repo/grantAgreement/EC/HORIZON EUROPE/101070310/EU/Physical Cognition for Intelligent Control and Safe Human-Robot Interaction/Sestosenso$$9info:eu-repo/grantAgreement/EC/H2020/739508/EU//CAMART2$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 739508-CAMART2
000145155 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000145155 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000145155 700__ $$aCartiel, Sergio$$uUniversidad de Zaragoza
000145155 700__ $$0(orcid)0000-0001-6070-0509$$aGarcía-Pueyo, Jorge$$uUniversidad de Zaragoza
000145155 700__ $$aStopar, Julija
000145155 700__ $$aZore, Aleš
000145155 700__ $$aKamnik, Roman
000145155 700__ $$aAulika, Ilze
000145155 700__ $$aOgurcovs, Andrejs
000145155 700__ $$aGrube, Jurgis
000145155 700__ $$aBundulis, Arturs
000145155 700__ $$aButikova, Jelena
000145155 700__ $$aKemere, Meldra
000145155 700__ $$0(orcid)0000-0002-8160-7159$$aMuñoz, Adolfo$$uUniversidad de Zaragoza
000145155 700__ $$aLaurenzis, Martin
000145155 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000145155 773__ $$g24, 20 (2024), 33268-33280$$pIEEE sens. j.$$tIEEE SENSORS JOURNAL$$x1530-437X
000145155 8564_ $$s790469$$uhttps://zaguan.unizar.es/record/145155/files/texto_completo.pdf$$yVersión publicada
000145155 8564_ $$s3346929$$uhttps://zaguan.unizar.es/record/145155/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000145155 909CO $$ooai:zaguan.unizar.es:145155$$particulos$$pdriver
000145155 951__ $$a2024-12-20-12:05:30
000145155 980__ $$aARTICLE