Abad, Alexander C and Reid, David and Ranasinghe, Anuradha (2021) HaptiTemp: A Next-Generation Thermosensitive GelSight-like Visuotactile Sensor. IEEE Sensors Journal, 22 (3). pp. 2722-2734. ISSN 1530-437X
Preview |
Other (PDF version of accepted paper)
FINAL VERSION.pdf - Accepted Version Download (10MB) | Preview |
Abstract
This study describes the creation of a new type of compact
skin-like silicone-based thermosensitive visuotactile sensor
based on GelSight technology. The easy integration of this novel sensor into a complex visuotactile system capable of very rapid detection of temperature change (30°C/s) is unique in providing a system that parallels the withdrawal reflex of the human autonomic system to extreme heat. To the best of authors’ awareness, this is the first time a sensor that can trigger a sensory impulse like a withdrawal reflex of humans in robotic community. To attain this,
we used thermochromic pigments color blue, orange, and black
with a threshold of 31°C, 43°C, and 50°C, respectively on the gel material. Each pigment has the property of becoming translucent when its temperature threshold is reached, making it possible to stack thermochromic pigments of different colors and thresholds. The pigments were air-brushed on a low-cost commercially available transparent silicone sponge. We used MobileNetV2 and transfer learning to simulate tactile preprocessing in order to recognize five different objects. The new thermosensitive visuotactile sensor helped to achieve 97.3% tactile image classification accuracy of five different objects. Our novel thermosensitive visuotactile sensor could be of benefit in material texture analysis, telerobotics, space
exploration, and medical applications.
| Item Type: | Article |
|---|---|
| Additional Information and Comments: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final, published verson is available from: https://ieeexplore.ieee.org/document/9652522 |
| Faculty / Department: | Faculty of Human and Digital Sciences > Mathematics and Computer Science |
| Depositing User: | Anuradha Dissanayake Mudiyanselage |
| Date Deposited: | 17 Dec 2021 12:30 |
| Last Modified: | 05 Sep 2022 13:50 |
| URI: | https://hira.hope.ac.uk/id/eprint/3459 |
Actions (login required)
 |
View Item |
Altmetric
Altmetric
