A Magnetic Field-based Foot Sensor for Legged Robots

Foot sensors are essential for legged robots to interact with their environment, and ground reaction force (GRF) measurement is a widely used method for evaluating their dynamics. Traditional 3D force sensors rely on load cells with strain gauges, which are implemented using either three perpendicular sensors or a monolithic structure. While these rigid sensors provide linear responses with minimal impact on positioning, they are challenging to integrate into small-scale robots and cost-effective sensors. Therefore, we propose a novel foot sensor that utilizes a magnetic field with the rubber O-ring as a compliant element to measure a 3D ground reaction force-like profile, providing a cost-effective solution for foot-ground interaction sensing. We validate the reliability of the sensor design through quantitative analysis of the collected data. Finally, we train a CNN model and show that it can robustly predict the inclination of an unseen slope given a short time series of the sensor readings.

Authors

Publication Details

Journal
TUprints
Published
2026-01-23
DOI
https://doi.org/10.26083/tuda-7740
Primary Topic
Robotic Locomotion and Control
Type
article
Field-Weighted Citation Impact
0.00
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article

A Magnetic Field-based Foot Sensor for Legged Robots

Worasuchad Haomachai, Dhamdhawach Horsuwan, Sanhanat Lertvittayavivat, Rujikorn Charakorn et al.
TUprints
Robotic Locomotion and Control
article

A Magnetic Field-based Foot Sensor for Legged Robots

Worasuchad Haomachai, Dhamdhawach Horsuwan, Sanhanat Lertvittayavivat, Rujikorn Charakorn, Poramate Manoonpong
article en

Abstract

Foot sensors are essential for legged robots to interact with their environment, and ground reaction force (GRF) measurement is a widely used method for evaluating their dynamics. Traditional 3D force sensors rely on load cells with strain gauges, which are implemented using either three perpendicular sensors or a monolithic structure. While these rigid sensors provide linear responses with minimal impact on positioning, they are challenging to integrate into small-scale robots and cost-effective sensors. Therefore, we propose a novel foot sensor that utilizes a magnetic field with the rubber O-ring as a compliant element to measure a 3D ground reaction force-like profile, providing a cost-effective solution for foot-ground interaction sensing. We validate the reliability of the sensor design through quantitative analysis of the collected data. Finally, we train a CNN model and show that it can robustly predict the inclination of an unseen slope given a short time series of the sensor readings.

TUprints
Openalex Percentile: Top 80%
Robotic Locomotion and Control
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