Compact LED-Based Displacement Sensing for Robot Fingers
Amr El-Azizi, Sharfin Islam, Pedro Piacenza, Kai Jiang, Ioannis Kymissis, Matei Ciocarlie
TL;DR
This work presents a compact LED-based displacement sensor designed for robot fingers to infer net contact forces and torques via relative plate motion in a 6-DOF elastomeric flexure. By employing LEDs as both emitters and receivers in an LED-LED network, the sensor achieves high signal-to-noise and small displacement sensitivity in a finger-sized package, with on-board electronics and no amplification required. A ResNet-inspired time-series architecture maps 24 LED-receiver signals to six force/torque components, achieving mean errors around $0.05$–$0.07$ N for x/y forces and $2.6$–$2.9$ N·mm for torques, with $R^2$ values near 0.99 for the primary axes; z-axis performance is weaker due to smaller true forces and hysteresis. The sensor demonstrates robust, low-cost, and easily integrated sensing suitable for manipulation tasks, offering a practical path toward ubiquitous finger-level sensing and data-driven manipulation policies. Future work targets hysteresis reduction, mechanical improvements, and deeper integration into anthropomorphic hands.
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 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.
