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UVMS task-priority planning framework for underwater task goal classification optimization
This paper presents a task prioritization strategy based on a generic underwater task goal classification transformation for multitasking underwater operational tasks: attitude control, floating manipulation, collision-free motion, especially optimizing trajectory of the end-effector of an underwate...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742523/ https://www.ncbi.nlm.nih.gov/pubmed/36518185 http://dx.doi.org/10.3389/fnbot.2022.982505 |
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author | Gao, Yu-er Zhang, Xiaohui Su, Yan Wang, Jinbao Yang, Qihang Bai, Wenqi Yang, Songnan |
author_facet | Gao, Yu-er Zhang, Xiaohui Su, Yan Wang, Jinbao Yang, Qihang Bai, Wenqi Yang, Songnan |
author_sort | Gao, Yu-er |
collection | PubMed |
description | This paper presents a task prioritization strategy based on a generic underwater task goal classification transformation for multitasking underwater operational tasks: attitude control, floating manipulation, collision-free motion, especially optimizing trajectory of the end-effector of an underwater vehicle manipulator system (UVMS) in a complex marine environment. The design framework aims to divide the complex underwater operational tasks into UVMS executable generic task combinations and optimize the resource consumption during the whole task. In order to achieve the corresponding underwater task settings, the system needs to satisfy different task scheduling structures. We consider the actual application scenarios of the operational goals and prioritize and define each category of task hierarchy accordingly. Multiple tasks simultaneously enable fast adaptation to UVMS movements and planning to complete UVMS autonomous movements. Finally, an underwater vehicle manipulator system implements the task prioritization planning framework for a practical scenario with different constraints on different goals. We quickly and precisely realize the interconversion of different tasks under goal constraints. The autonomous motion planning and real-time performance of UVMS are improved to cope with the increasing operational task requirements and the complex and changing practical engineering application environments. |
format | Online Article Text |
id | pubmed-9742523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97425232022-12-13 UVMS task-priority planning framework for underwater task goal classification optimization Gao, Yu-er Zhang, Xiaohui Su, Yan Wang, Jinbao Yang, Qihang Bai, Wenqi Yang, Songnan Front Neurorobot Neuroscience This paper presents a task prioritization strategy based on a generic underwater task goal classification transformation for multitasking underwater operational tasks: attitude control, floating manipulation, collision-free motion, especially optimizing trajectory of the end-effector of an underwater vehicle manipulator system (UVMS) in a complex marine environment. The design framework aims to divide the complex underwater operational tasks into UVMS executable generic task combinations and optimize the resource consumption during the whole task. In order to achieve the corresponding underwater task settings, the system needs to satisfy different task scheduling structures. We consider the actual application scenarios of the operational goals and prioritize and define each category of task hierarchy accordingly. Multiple tasks simultaneously enable fast adaptation to UVMS movements and planning to complete UVMS autonomous movements. Finally, an underwater vehicle manipulator system implements the task prioritization planning framework for a practical scenario with different constraints on different goals. We quickly and precisely realize the interconversion of different tasks under goal constraints. The autonomous motion planning and real-time performance of UVMS are improved to cope with the increasing operational task requirements and the complex and changing practical engineering application environments. Frontiers Media S.A. 2022-11-28 /pmc/articles/PMC9742523/ /pubmed/36518185 http://dx.doi.org/10.3389/fnbot.2022.982505 Text en Copyright © 2022 Gao, Zhang, Su, Wang, Yang, Bai and Yang. 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 | Neuroscience Gao, Yu-er Zhang, Xiaohui Su, Yan Wang, Jinbao Yang, Qihang Bai, Wenqi Yang, Songnan UVMS task-priority planning framework for underwater task goal classification optimization |
title | UVMS task-priority planning framework for underwater task goal classification optimization |
title_full | UVMS task-priority planning framework for underwater task goal classification optimization |
title_fullStr | UVMS task-priority planning framework for underwater task goal classification optimization |
title_full_unstemmed | UVMS task-priority planning framework for underwater task goal classification optimization |
title_short | UVMS task-priority planning framework for underwater task goal classification optimization |
title_sort | uvms task-priority planning framework for underwater task goal classification optimization |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742523/ https://www.ncbi.nlm.nih.gov/pubmed/36518185 http://dx.doi.org/10.3389/fnbot.2022.982505 |
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