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Autori principali: El-Azizi, Amr, Islam, Sharfin, Piacenza, Pedro, Jiang, Kai, Kymissis, Ioannis, Ciocarlie, Matei
Natura: Preprint
Pubblicazione: 2024
Soggetti:
Accesso online:https://arxiv.org/abs/2410.03481
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author El-Azizi, Amr
Islam, Sharfin
Piacenza, Pedro
Jiang, Kai
Kymissis, Ioannis
Ciocarlie, Matei
author_facet El-Azizi, Amr
Islam, Sharfin
Piacenza, Pedro
Jiang, Kai
Kymissis, Ioannis
Ciocarlie, Matei
contents In this paper, we introduce a sensor designed for integration in robot fingers, where it can provide information on the displacements induced by external contact. Our sensor uses LEDs to sense the displacement between two plates connected by a transparent elastomer; when a force is applied to the finger, the elastomer displaces and the LED signals change. We show that using LEDs as both light emitters an receivers in this context provides high sensitivity, allowing such an emitter and receiver pairs to detect very small displacements. We characterize the standalone performance of the sensor by testing the ability of a supervised learning model to predict complete force and torque data from its raw signals, and obtain a mean error between 0.05 and 0.07 N across the three directions of force applied to the finger. Our method allows for finger-size packaging with no amplification electronics, low cost manufacturing, easy integration into a complete hand, and high overload shear forces and bending torques, suggesting future applicability to complete manipulation tasks.
format Preprint
id arxiv_https___arxiv_org_abs_2410_03481
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Compact LED-Based Displacement Sensing for Robot Fingers
El-Azizi, Amr
Islam, Sharfin
Piacenza, Pedro
Jiang, Kai
Kymissis, Ioannis
Ciocarlie, Matei
Robotics
In this paper, we introduce a sensor designed for integration in robot fingers, where it can provide information on the displacements induced by external contact. Our sensor uses LEDs to sense the displacement between two plates connected by a transparent elastomer; when a force is applied to the finger, the elastomer displaces and the LED signals change. We show that using LEDs as both light emitters an receivers in this context provides high sensitivity, allowing such an emitter and receiver pairs to detect very small displacements. We characterize the standalone performance of the sensor by testing the ability of a supervised learning model to predict complete force and torque data from its raw signals, and obtain a mean error between 0.05 and 0.07 N across the three directions of force applied to the finger. Our method allows for finger-size packaging with no amplification electronics, low cost manufacturing, easy integration into a complete hand, and high overload shear forces and bending torques, suggesting future applicability to complete manipulation tasks.
title Compact LED-Based Displacement Sensing for Robot Fingers
topic Robotics
url https://arxiv.org/abs/2410.03481