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  5. A Magnetic Field-based Foot Sensor for Legged Robots
 
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2026
Erstveröffentlichung
Konferenzveröffentlichung

A Magnetic Field-based Foot Sensor for Legged Robots

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PaperID_64_Magnetic_Field-based_Foot_Sensor_v2026_01-20.pdf
CC BY 4.0 International
Format: Adobe PDF
Size: 1.89 MB
TUDa URI
tuda/15076
URN
urn:nbn:de:tuda-tuda-150768
DOI
10.26083/tuda-7740
Autor:innen
Lertvittayavivat, Sanhanat
Horsuwan, Dhamdhawach ORCID 0009-0000-0289-9329
Charakorn, Rujikorn ORCID 0000-0002-9960-8483
Haomachai, Worasuchad
Manoonpong, Poramate ORCID 0000-0002-4806-7576
Kurzbeschreibung (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.

Sprache
Englisch
DDC
500 Naturwissenschaften und Mathematik > 500 Naturwissenschaften
600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Veranstaltungstitel
12th International Symposium on Adaptive Motion of Animals and Machines (AMAM 2025)
Veranstaltungsort
Darmstadt, Germany
Startdatum der Veranstaltung
07.07.2025
Enddatum der Veranstaltung
11.07.2025
Zusätzliche Links (Organisation)
https://www.tu-darmstadt.de/lokoassist/home_lokoassist/news_und_events_lokoassist/amam25/amam25.en.jsp

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