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Marine Applications of the Fast Marching Method
Path planning is general problem of mobile robots, which has special characteristics when applied to marine applications. In addition to avoid colliding with obstacles, in marine scenarios, environment conditions such as water currents or wind need to be taken into account in the path planning proce...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806110/ https://www.ncbi.nlm.nih.gov/pubmed/33501171 http://dx.doi.org/10.3389/frobt.2020.00002 |
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author | Garrido, Santiago Alvarez, David Moreno, Luis E. |
author_facet | Garrido, Santiago Alvarez, David Moreno, Luis E. |
author_sort | Garrido, Santiago |
collection | PubMed |
description | Path planning is general problem of mobile robots, which has special characteristics when applied to marine applications. In addition to avoid colliding with obstacles, in marine scenarios, environment conditions such as water currents or wind need to be taken into account in the path planning process. In this paper, several solutions based on the Fast Marching Method are proposed. The basic method focus on collision avoidance and optimal planning and, later on, using the same underlying method, the influence of marine currents in the optimal path planning is detailed. Finally, the application of these methods to consider marine robot formations is presented. |
format | Online Article Text |
id | pubmed-7806110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78061102021-01-25 Marine Applications of the Fast Marching Method Garrido, Santiago Alvarez, David Moreno, Luis E. Front Robot AI Robotics and AI Path planning is general problem of mobile robots, which has special characteristics when applied to marine applications. In addition to avoid colliding with obstacles, in marine scenarios, environment conditions such as water currents or wind need to be taken into account in the path planning process. In this paper, several solutions based on the Fast Marching Method are proposed. The basic method focus on collision avoidance and optimal planning and, later on, using the same underlying method, the influence of marine currents in the optimal path planning is detailed. Finally, the application of these methods to consider marine robot formations is presented. Frontiers Media S.A. 2020-01-28 /pmc/articles/PMC7806110/ /pubmed/33501171 http://dx.doi.org/10.3389/frobt.2020.00002 Text en Copyright © 2020 Garrido, Alvarez and Moreno. http://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 Garrido, Santiago Alvarez, David Moreno, Luis E. Marine Applications of the Fast Marching Method |
title | Marine Applications of the Fast Marching Method |
title_full | Marine Applications of the Fast Marching Method |
title_fullStr | Marine Applications of the Fast Marching Method |
title_full_unstemmed | Marine Applications of the Fast Marching Method |
title_short | Marine Applications of the Fast Marching Method |
title_sort | marine applications of the fast marching method |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806110/ https://www.ncbi.nlm.nih.gov/pubmed/33501171 http://dx.doi.org/10.3389/frobt.2020.00002 |
work_keys_str_mv | AT garridosantiago marineapplicationsofthefastmarchingmethod AT alvarezdavid marineapplicationsofthefastmarchingmethod AT morenoluise marineapplicationsofthefastmarchingmethod |