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Development of a Vision-Guided Shared-Control System for Assistive Robotic Manipulators

Assistive robotic manipulators (ARMs) provide a potential solution to mitigating the difficulties and lost independence associated with manipulation deficits in individuals with upper-limb impairments. However, achieving efficient control of an ARM can be a challenge due to the multiple degrees of f...

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Detalles Bibliográficos
Autores principales: Ding, Dan, Styler, Breelyn, Chung, Cheng-Shiu, Houriet, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228253/
https://www.ncbi.nlm.nih.gov/pubmed/35746131
http://dx.doi.org/10.3390/s22124351
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author Ding, Dan
Styler, Breelyn
Chung, Cheng-Shiu
Houriet, Alexander
author_facet Ding, Dan
Styler, Breelyn
Chung, Cheng-Shiu
Houriet, Alexander
author_sort Ding, Dan
collection PubMed
description Assistive robotic manipulators (ARMs) provide a potential solution to mitigating the difficulties and lost independence associated with manipulation deficits in individuals with upper-limb impairments. However, achieving efficient control of an ARM can be a challenge due to the multiple degrees of freedom (DoFs) of an ARM that need to be controlled. This study describes the development of a vision-guided shared-control (VGS) system and how it is applied to a multi-step drinking task. The VGS control allows the user to control the gross motion of the ARM via teleoperation and commands the ARM to autonomously perform fine manipulation. A bench-top test of the autonomous actions showed that success rates for different subtasks ranged from 80% to 100%. An evaluation with three test pilots showed that the overall task performance, in terms of success rate, task completion time, and joystick mode-switch frequency, was better with VGS than with teleoperation. Similar trends were observed with a case participant with a spinal cord injury. While his performance was better and he perceived a smaller workload with VGS, his perceived usability for VGS and teleoperation was similar. More work is needed to further improve and test VGS on participants with disabilities.
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spelling pubmed-92282532022-06-25 Development of a Vision-Guided Shared-Control System for Assistive Robotic Manipulators Ding, Dan Styler, Breelyn Chung, Cheng-Shiu Houriet, Alexander Sensors (Basel) Article Assistive robotic manipulators (ARMs) provide a potential solution to mitigating the difficulties and lost independence associated with manipulation deficits in individuals with upper-limb impairments. However, achieving efficient control of an ARM can be a challenge due to the multiple degrees of freedom (DoFs) of an ARM that need to be controlled. This study describes the development of a vision-guided shared-control (VGS) system and how it is applied to a multi-step drinking task. The VGS control allows the user to control the gross motion of the ARM via teleoperation and commands the ARM to autonomously perform fine manipulation. A bench-top test of the autonomous actions showed that success rates for different subtasks ranged from 80% to 100%. An evaluation with three test pilots showed that the overall task performance, in terms of success rate, task completion time, and joystick mode-switch frequency, was better with VGS than with teleoperation. Similar trends were observed with a case participant with a spinal cord injury. While his performance was better and he perceived a smaller workload with VGS, his perceived usability for VGS and teleoperation was similar. More work is needed to further improve and test VGS on participants with disabilities. MDPI 2022-06-08 /pmc/articles/PMC9228253/ /pubmed/35746131 http://dx.doi.org/10.3390/s22124351 Text en © 2022 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
Ding, Dan
Styler, Breelyn
Chung, Cheng-Shiu
Houriet, Alexander
Development of a Vision-Guided Shared-Control System for Assistive Robotic Manipulators
title Development of a Vision-Guided Shared-Control System for Assistive Robotic Manipulators
title_full Development of a Vision-Guided Shared-Control System for Assistive Robotic Manipulators
title_fullStr Development of a Vision-Guided Shared-Control System for Assistive Robotic Manipulators
title_full_unstemmed Development of a Vision-Guided Shared-Control System for Assistive Robotic Manipulators
title_short Development of a Vision-Guided Shared-Control System for Assistive Robotic Manipulators
title_sort development of a vision-guided shared-control system for assistive robotic manipulators
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228253/
https://www.ncbi.nlm.nih.gov/pubmed/35746131
http://dx.doi.org/10.3390/s22124351
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