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Assistive technology: autonomous wheelchair in obstacle-ridden environment

The benefits for the advancement and enhancement of assistive technology are manifold. However, improving accessibility for persons with disabilities (PWD) to ensure their social and economic inclusion makes up one of the major ones in recent times. This paper presents a set of new nonlinear time-in...

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Autores principales: Kumar, Sandeep Ameet, Vanualailai, Jito, Prasad, Avinesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576547/
https://www.ncbi.nlm.nih.gov/pubmed/34805501
http://dx.doi.org/10.7717/peerj-cs.725
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author Kumar, Sandeep Ameet
Vanualailai, Jito
Prasad, Avinesh
author_facet Kumar, Sandeep Ameet
Vanualailai, Jito
Prasad, Avinesh
author_sort Kumar, Sandeep Ameet
collection PubMed
description The benefits for the advancement and enhancement of assistive technology are manifold. However, improving accessibility for persons with disabilities (PWD) to ensure their social and economic inclusion makes up one of the major ones in recent times. This paper presents a set of new nonlinear time-invariant stabilizing controllers for safe navigation of an autonomous nonholonomic rear-wheel drive wheelchair. Autonomous wheelchairs belong to the category of assistive technology, which is most sought in current times due to its usefulness, especially to the less abled (physically and/or cognitively), hence helping create an inclusive society. The wheelchair navigates in an obstacle-ridden environment from its start to final configuration, maintaining a robust obstacle avoidance scheme and observing system restrictions and dynamics. The velocity-based controllers are extracted from a Lyapunov function, the total potentials designed using the Lyapunov based Control Scheme (LbCS) falling under the classical approach of the artificial potential field method. The interplay of the three central pillars of LbCS, which are safety, shortness, and smoothest course for motion planning, results in cost and time effectiveness and the velocity controllers’ efficiency. Using the Direct Method of Lyapunov, the stability of the wheelchair system has been proved. Finally, computer simulations illustrate the effectiveness of the set of new controllers.
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spelling pubmed-85765472021-11-19 Assistive technology: autonomous wheelchair in obstacle-ridden environment Kumar, Sandeep Ameet Vanualailai, Jito Prasad, Avinesh PeerJ Comput Sci Autonomous Systems The benefits for the advancement and enhancement of assistive technology are manifold. However, improving accessibility for persons with disabilities (PWD) to ensure their social and economic inclusion makes up one of the major ones in recent times. This paper presents a set of new nonlinear time-invariant stabilizing controllers for safe navigation of an autonomous nonholonomic rear-wheel drive wheelchair. Autonomous wheelchairs belong to the category of assistive technology, which is most sought in current times due to its usefulness, especially to the less abled (physically and/or cognitively), hence helping create an inclusive society. The wheelchair navigates in an obstacle-ridden environment from its start to final configuration, maintaining a robust obstacle avoidance scheme and observing system restrictions and dynamics. The velocity-based controllers are extracted from a Lyapunov function, the total potentials designed using the Lyapunov based Control Scheme (LbCS) falling under the classical approach of the artificial potential field method. The interplay of the three central pillars of LbCS, which are safety, shortness, and smoothest course for motion planning, results in cost and time effectiveness and the velocity controllers’ efficiency. Using the Direct Method of Lyapunov, the stability of the wheelchair system has been proved. Finally, computer simulations illustrate the effectiveness of the set of new controllers. PeerJ Inc. 2021-11-03 /pmc/articles/PMC8576547/ /pubmed/34805501 http://dx.doi.org/10.7717/peerj-cs.725 Text en © 2021 Kumar et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
spellingShingle Autonomous Systems
Kumar, Sandeep Ameet
Vanualailai, Jito
Prasad, Avinesh
Assistive technology: autonomous wheelchair in obstacle-ridden environment
title Assistive technology: autonomous wheelchair in obstacle-ridden environment
title_full Assistive technology: autonomous wheelchair in obstacle-ridden environment
title_fullStr Assistive technology: autonomous wheelchair in obstacle-ridden environment
title_full_unstemmed Assistive technology: autonomous wheelchair in obstacle-ridden environment
title_short Assistive technology: autonomous wheelchair in obstacle-ridden environment
title_sort assistive technology: autonomous wheelchair in obstacle-ridden environment
topic Autonomous Systems
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576547/
https://www.ncbi.nlm.nih.gov/pubmed/34805501
http://dx.doi.org/10.7717/peerj-cs.725
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