@inproceedings{81b3e212d0c04fc09a3908ae8534ab97,
title = "HySenSe: A Hyper-Sensitive and High-Fidelity Vision-Based Tactile Sensor",
abstract = "In this paper, to address the sensitivity and dura-bility trade-off of Vision based Tactile Sensor (VTSs), we in-troduce a hyper-sensitive and high-fidelity VTS called HySenSe. We demonstrate that by solely changing one step during the fabrication of the gel layer of the GelSight sensor (as the most well-known VTS), we can substantially improve its sensitivity and durability. Our experimental results clearly demonstrate the outperformance of the HySenSe compared with a similar GelSight sensor in detecting textural details of various objects under identical experimental conditions and low interaction forces (< 1.5N).",
keywords = "fabrication, GelSight, vision based tactile sensor",
author = "Kara, {Ozdemir Can} and Naruhiko Ikoma and Farshid Alambeigi",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Sensors Conference, SENSORS 2022 ; Conference date: 30-10-2022 Through 02-11-2022",
year = "2022",
doi = "10.1109/SENSORS52175.2022.9967133",
language = "English (US)",
series = "Proceedings of IEEE Sensors",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 IEEE Sensors, SENSORS 2022 - Conference Proceedings",
}