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User Local Coordinate-Based Accompanying Robot for Human Natural Movement of Daily Life

Considering the trend of aging societies, accompanying technology can help frail, elderly individuals participate in daily activities. The ideal accompanying robot should accompany the user in a proper position according to the activity scenarios and context; the prerequisite is that the accompanyin...

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Detalles Bibliográficos
Autores principales: Wu, Hsiao-Kuan, Chen, Po-Yin, Wu, Hong-Yi, Yu, Chung-Huang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200131/
https://www.ncbi.nlm.nih.gov/pubmed/34199926
http://dx.doi.org/10.3390/s21113889
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author Wu, Hsiao-Kuan
Chen, Po-Yin
Wu, Hong-Yi
Yu, Chung-Huang
author_facet Wu, Hsiao-Kuan
Chen, Po-Yin
Wu, Hong-Yi
Yu, Chung-Huang
author_sort Wu, Hsiao-Kuan
collection PubMed
description Considering the trend of aging societies, accompanying technology can help frail, elderly individuals participate in daily activities. The ideal accompanying robot should accompany the user in a proper position according to the activity scenarios and context; the prerequisite is that the accompanying robot should quickly move to a designated position and closely maintain it regardless of the direction in which the user moves. This paper proposes a user local coordinate-based strategy to satisfy this need. As a proof of concept, a novel “string-pot” approach was utilized to measure the position difference between the robot and the target. We implemented the control strategy and assessed its performance in our gait lab. The results showed that the robot can follow the user in the designated position while the user performs forward, backward, and lateral movements, turning, and walking along a curve.
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spelling pubmed-82001312021-06-14 User Local Coordinate-Based Accompanying Robot for Human Natural Movement of Daily Life Wu, Hsiao-Kuan Chen, Po-Yin Wu, Hong-Yi Yu, Chung-Huang Sensors (Basel) Article Considering the trend of aging societies, accompanying technology can help frail, elderly individuals participate in daily activities. The ideal accompanying robot should accompany the user in a proper position according to the activity scenarios and context; the prerequisite is that the accompanying robot should quickly move to a designated position and closely maintain it regardless of the direction in which the user moves. This paper proposes a user local coordinate-based strategy to satisfy this need. As a proof of concept, a novel “string-pot” approach was utilized to measure the position difference between the robot and the target. We implemented the control strategy and assessed its performance in our gait lab. The results showed that the robot can follow the user in the designated position while the user performs forward, backward, and lateral movements, turning, and walking along a curve. MDPI 2021-06-04 /pmc/articles/PMC8200131/ /pubmed/34199926 http://dx.doi.org/10.3390/s21113889 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wu, Hsiao-Kuan
Chen, Po-Yin
Wu, Hong-Yi
Yu, Chung-Huang
User Local Coordinate-Based Accompanying Robot for Human Natural Movement of Daily Life
title User Local Coordinate-Based Accompanying Robot for Human Natural Movement of Daily Life
title_full User Local Coordinate-Based Accompanying Robot for Human Natural Movement of Daily Life
title_fullStr User Local Coordinate-Based Accompanying Robot for Human Natural Movement of Daily Life
title_full_unstemmed User Local Coordinate-Based Accompanying Robot for Human Natural Movement of Daily Life
title_short User Local Coordinate-Based Accompanying Robot for Human Natural Movement of Daily Life
title_sort user local coordinate-based accompanying robot for human natural movement of daily life
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200131/
https://www.ncbi.nlm.nih.gov/pubmed/34199926
http://dx.doi.org/10.3390/s21113889
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