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Article

Skin-Inspired Magnetoresistive Tactile Sensor for Force Characterization in Distributed Areas

by
Francisco Mêda
1,2,*,
Fabian Näf
1,2,3,
Tiago P. Fernandes
1,2,
Alexandre Bernardino
2,4,
Lorenzo Jamone
5,
Gonçalo Tavares
2,3 and
Susana Cardoso
1,2
1
INESC Microsistemas e Nanotecnologias (INESC-MN), 1000-029 Lisbon, Portugal
2
Instituto Superior Técnico (IST), Universidade de Lisboa, 1049-001 Lisbon, Portugal
3
INESC Investigação e Desenvolvimento (INESC ID), 1000-029 Lisbon, Portugal
4
Instituto de Sistemas e Robótica (ISR), 1049-001 Lisbon, Portugal
5
Computer Science Department, University College London (UCL), London WC1E 6BT, UK
*
Author to whom correspondence should be addressed.
Sensors 2025, 25(12), 3724; https://doi.org/10.3390/s25123724 (registering DOI)
Submission received: 11 April 2025 / Revised: 9 June 2025 / Accepted: 11 June 2025 / Published: 13 June 2025
(This article belongs to the Special Issue Smart Magnetic Sensors and Application)

Abstract

Touch is a crucial sense for advanced organisms, particularly humans, as it provides essential information about the shape, size, and texture of contacting objects. In robotics and automation, the integration of tactile sensors has become increasingly relevant, enabling devices to properly interact with their environment. This study aimed to develop a biomimetic, skin-inspired tactile sensor device capable of sensing applied force, characterizing it in three dimensions, and determining the point of application. The device was designed as a 4 × 4 matrix of tunneling magnetoresistive sensors, which provide a higher sensitivity in comparison to the ones based on the Hall effect, the current standard in tactile sensors. These detect magnetic field changes along a single axis, wire-bonded to a PCB and encapsulated in epoxy. This sensing array detects the magnetic field from an overlayed magnetorheological elastomer composed of Ecoflex and 5 µm neodymium–iron–boron ferromagnetic particles. Structural integrity tests showed that the device could withstand forces above 100 N, with an epoxy coverage of 0.12 mL per sensor chip. A 3D movement stage equipped with an indenting tip and force sensor was used to collect device data, which was then used to train neural network models to predict the contact location and 3D magnitude of the applied force. The magnitude-sensing model was trained on 31,260 data points, being able to accurately characterize force with a mean absolute error ranging between 0.07 and 0.17 N. The spatial sensitivity model was trained on 171,008 points and achieved a mean absolute error of 0.26 mm when predicting the location of applied force within a sensitive area of 25.5 mm × 25.5 mm using sensors spaced 4.5 mm apart. For points outside the testing range, the mean absolute error was 0.63 mm.
Keywords: tactile sensor; artificial skin; magnetoresistive sensor; magnetorheological elastomer; neural network; instrumentation tactile sensor; artificial skin; magnetoresistive sensor; magnetorheological elastomer; neural network; instrumentation

Share and Cite

MDPI and ACS Style

Mêda, F.; Näf, F.; Fernandes, T.P.; Bernardino, A.; Jamone, L.; Tavares, G.; Cardoso, S. Skin-Inspired Magnetoresistive Tactile Sensor for Force Characterization in Distributed Areas. Sensors 2025, 25, 3724. https://doi.org/10.3390/s25123724

AMA Style

Mêda F, Näf F, Fernandes TP, Bernardino A, Jamone L, Tavares G, Cardoso S. Skin-Inspired Magnetoresistive Tactile Sensor for Force Characterization in Distributed Areas. Sensors. 2025; 25(12):3724. https://doi.org/10.3390/s25123724

Chicago/Turabian Style

Mêda, Francisco, Fabian Näf, Tiago P. Fernandes, Alexandre Bernardino, Lorenzo Jamone, Gonçalo Tavares, and Susana Cardoso. 2025. "Skin-Inspired Magnetoresistive Tactile Sensor for Force Characterization in Distributed Areas" Sensors 25, no. 12: 3724. https://doi.org/10.3390/s25123724

APA Style

Mêda, F., Näf, F., Fernandes, T. P., Bernardino, A., Jamone, L., Tavares, G., & Cardoso, S. (2025). Skin-Inspired Magnetoresistive Tactile Sensor for Force Characterization in Distributed Areas. Sensors, 25(12), 3724. https://doi.org/10.3390/s25123724

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