Publication: Marine applications of the fast marching method
dc.affiliation.dpto | UC3M. Departamento de Ingeniería de Sistemas y Automática | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Laboratorio de Sistemas Inteligentes | es |
dc.contributor.author | Garrido Bullón, Luis Santiago | |
dc.contributor.author | Álvarez Sánchez, David | |
dc.contributor.author | Moreno Lorente, Luis Enrique | |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (España) | es |
dc.contributor.funder | Comunidad de Madrid | es |
dc.date.accessioned | 2021-07-15T12:05:26Z | |
dc.date.available | 2021-07-15T12:05:26Z | |
dc.date.issued | 2020-01-28 | |
dc.description.abstract | 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. | en |
dc.description.sponsorship | The research leading to these results has received funding from HEROITEA-Sistema Inteligente Heterogéneo Multirobot para la Asistencia de Personas Mayores-RTI2018-095599-BC21 and from RoboCity2030-DIH-CM, Madrid Robotics Digital Innovation Hub, S2018/NMT-4331), funded by Programas de Actividades I+D en la Comunidad de Madrid and cofunded by Structural Funds of the EU. | en |
dc.format.extent | 12 | es |
dc.identifier.bibliographicCitation | Frontiers in robotics and AI, vol. 7, article 2, Jan. 2020, 12 pp. | en |
dc.identifier.doi | https://doi.org/10.3389/frobt.2020.00002 | |
dc.identifier.issn | 2296-9144 | |
dc.identifier.publicationfirstpage | 1 | es |
dc.identifier.publicationissue | Article 2 | en |
dc.identifier.publicationlastpage | 12 | es |
dc.identifier.publicationtitle | Frontiers in robotics and AI | en |
dc.identifier.publicationvolume | 7 | es |
dc.identifier.uri | https://hdl.handle.net/10016/33093 | |
dc.identifier.uxxi | AR/0000025489 | |
dc.language.iso | eng | en |
dc.publisher | Frontiers Media | en |
dc.relation.projectID | Gobierno de España. RTI2018-095599-BC21/HEROITEA | es |
dc.relation.projectID | Comunidad de Madrid. S2018/NMT-4331/RoboCity2030 | es |
dc.rights | Copyright © 2020 Garrido, Alvarez and Moreno. | en |
dc.rights | This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). | en |
dc.rights | Atribución 3.0 España | * |
dc.rights.accessRights | open access | en |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject.eciencia | Robótica e Informática Industrial | es |
dc.subject.other | Fast marching | en |
dc.subject.other | Formations | en |
dc.subject.other | Path planning | en |
dc.subject.other | Trajectory planning | en |
dc.subject.other | Vector field fast marching | en |
dc.title | Marine applications of the fast marching method | en |
dc.type | research article | * |
dc.type.hasVersion | VoR | * |
dspace.entity.type | Publication |
Files
Original bundle
1 - 1 of 1