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Effects of repetitive low-acceleration impacts on attitude estimation with micro-electromechanical inertial measurement units
Inertial Measurement Units are present in several applications in aerospace, unmanned vehicle navigation, legged robots, and human motion tracking systems, due to their ability to estimate a body’s acceleration, orientation and angular rate. In contrast to rovers and drones, legged locomotion involv...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482029/ https://www.ncbi.nlm.nih.gov/pubmed/37680761 http://dx.doi.org/10.3389/frobt.2023.1211531 |
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author | Allione, Federico Gamba, Juan D. Gkikakis, Antonios E. Featherstone, Roy Caldwell, Darwin |
author_facet | Allione, Federico Gamba, Juan D. Gkikakis, Antonios E. Featherstone, Roy Caldwell, Darwin |
author_sort | Allione, Federico |
collection | PubMed |
description | Inertial Measurement Units are present in several applications in aerospace, unmanned vehicle navigation, legged robots, and human motion tracking systems, due to their ability to estimate a body’s acceleration, orientation and angular rate. In contrast to rovers and drones, legged locomotion involves repeated impacts between the feet and the ground, and rapid locomotion (e.g., running) involves alternating stance and flight phases, resulting in substantial oscillations in vertical acceleration. The aim of this research is to investigate the effects of periodic low-acceleration impacts (4 g, 8 g and 16 g), which imitate the vertical motion of a running robot, on the attitude estimation of multiple Micro-Electromechanical Systems IMUs. The results reveal the presence of a significant drift in the attitude estimation of the sensors, which can provide important information during the design process of a robot (sensor selection), or during the control phase (e.g., the system will know that after a series of impacts the attitude estimations will be inaccurate). |
format | Online Article Text |
id | pubmed-10482029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104820292023-09-07 Effects of repetitive low-acceleration impacts on attitude estimation with micro-electromechanical inertial measurement units Allione, Federico Gamba, Juan D. Gkikakis, Antonios E. Featherstone, Roy Caldwell, Darwin Front Robot AI Robotics and AI Inertial Measurement Units are present in several applications in aerospace, unmanned vehicle navigation, legged robots, and human motion tracking systems, due to their ability to estimate a body’s acceleration, orientation and angular rate. In contrast to rovers and drones, legged locomotion involves repeated impacts between the feet and the ground, and rapid locomotion (e.g., running) involves alternating stance and flight phases, resulting in substantial oscillations in vertical acceleration. The aim of this research is to investigate the effects of periodic low-acceleration impacts (4 g, 8 g and 16 g), which imitate the vertical motion of a running robot, on the attitude estimation of multiple Micro-Electromechanical Systems IMUs. The results reveal the presence of a significant drift in the attitude estimation of the sensors, which can provide important information during the design process of a robot (sensor selection), or during the control phase (e.g., the system will know that after a series of impacts the attitude estimations will be inaccurate). Frontiers Media S.A. 2023-08-23 /pmc/articles/PMC10482029/ /pubmed/37680761 http://dx.doi.org/10.3389/frobt.2023.1211531 Text en Copyright © 2023 Allione, Gamba, Gkikakis, Featherstone and Caldwell. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Allione, Federico Gamba, Juan D. Gkikakis, Antonios E. Featherstone, Roy Caldwell, Darwin Effects of repetitive low-acceleration impacts on attitude estimation with micro-electromechanical inertial measurement units |
title | Effects of repetitive low-acceleration impacts on attitude estimation with micro-electromechanical inertial measurement units |
title_full | Effects of repetitive low-acceleration impacts on attitude estimation with micro-electromechanical inertial measurement units |
title_fullStr | Effects of repetitive low-acceleration impacts on attitude estimation with micro-electromechanical inertial measurement units |
title_full_unstemmed | Effects of repetitive low-acceleration impacts on attitude estimation with micro-electromechanical inertial measurement units |
title_short | Effects of repetitive low-acceleration impacts on attitude estimation with micro-electromechanical inertial measurement units |
title_sort | effects of repetitive low-acceleration impacts on attitude estimation with micro-electromechanical inertial measurement units |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482029/ https://www.ncbi.nlm.nih.gov/pubmed/37680761 http://dx.doi.org/10.3389/frobt.2023.1211531 |
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