Compact LED-Based Displacement Sensing for Robot Fingers
Amr El-Azizi, Sharfin Islam, Pedro Piacenza, Kai Jiang, Ioannis Kymissis, Matei Ciocarlie

TL;DR
This paper presents a compact LED-based sensor for robot fingers that detects small displacements caused by external contact, enabling precise force and torque estimation with simple, low-cost design.
Contribution
The paper introduces a novel LED-based displacement sensor integrated into robot fingers, capable of high sensitivity and accurate force prediction without complex electronics.
Findings
Achieved mean force prediction error of 0.05-0.07 N
Sensor is compact, low-cost, and easily integrable into robotic hands
Demonstrated high overload capacity for manipulation tasks
Abstract
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…
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Taxonomy
TopicsRobot Manipulation and Learning · Muscle activation and electromyography studies · Hand Gesture Recognition Systems
