Wheeled Robot for Human Performance Analysis on a Running Track

This research project investigates runners' performance through innovative technology, aiming to foster a human-robot partnership. Our study involves the development of a wheeled, remote-controlled running track robot that will integrate these elements. The robot's capabilities were first modeled using simulations, with an emphasis on efficiency and high torque capabilities. The runner will wear a heart rate sensor during training on a 400m track, which will output biometric data to the running track robot. The robot is designed to analyze this data logged by the heart rate sensor. Future research will aim to develop the robot as a biomarker-driven pacing tool that can leverage the head-to-head psyche that runners experience throughout competition. This will allow the running track robot to act as a pacing robot that can analyze the biometric data in real time and provide personalized pacing support.

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Publication Details

Journal
Veritas Villanova Research Journal
Published
2024-11-18
DOI
https://doi.org/10.61372/vvrj.v6i1.3030
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Wheeled Robot for Human Performance Analysis on a Running Track

Diego Martínez Soto, Stephen G. McGill, Amos Colocho, Riquel Owusu et al.
Veritas Villanova Research Journal
Robotics and Automated Systems
article

Wheeled Robot for Human Performance Analysis on a Running Track

Diego Martínez Soto, Stephen G. McGill, Amos Colocho, Riquel Owusu, Sabrina Smurro
article en

Abstract

This research project investigates runners' performance through innovative technology, aiming to foster a human-robot partnership. Our study involves the development of a wheeled, remote-controlled running track robot that will integrate these elements. The robot's capabilities were first modeled using simulations, with an emphasis on efficiency and high torque capabilities. The runner will wear a heart rate sensor during training on a 400m track, which will output biometric data to the running track robot. The robot is designed to analyze this data logged by the heart rate sensor. Future research will aim to develop the robot as a biomarker-driven pacing tool that can leverage the head-to-head psyche that runners experience throughout competition. This will allow the running track robot to act as a pacing robot that can analyze the biometric data in real time and provide personalized pacing support.

Veritas Villanova Research JournalVol. 6(1)
Villanova University (US)
McGill University
Openalex Percentile: Top 63%
Robotics and Automated Systems
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