A PGD-based method for robot global path planning : a primer

dc.centroUniversidad Cardenal Herrera-CEU
dc.contributor.authorFalcó Montesinos, Antonio
dc.contributor.authorChinesta, Francisco
dc.contributor.authorMora Aguilar, Marta Covadonga
dc.contributor.authorDuval, Jean Louis
dc.contributor.authorHilario Pérez, Lucía
dc.contributor.authorMontés Sánchez, Nicolás
dc.contributor.otherUCH. Departamento de Matemáticas, Física y Ciencias Tecnológicas
dc.contributor.otherProducción Científica UCH 2019
dc.date2019
dc.date.accessioned2022-02-02T05:00:51Z
dc.date.available2022-02-02T05:00:51Z
dc.date.issued2019-07-29
dc.descriptionEsta comunicación se encuentra disponible en la siguiente URL: https://www.scitepress.org/Papers/2019/78090/78090.pdf
dc.descriptionEste artículo pertenece a la 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019) - Prague, Czech Republic, 29-31 July 2019.
dc.description.abstractThe present paper shows, for the first time, the technique known as PGD-Vademecum as a global path planner for mobile robots. The main idea of this method is to obtain a Vademecum containing all the possible paths from any start and goal positions derived from a harmonic potential field in a predefined map. The PGD is a numerical technique with three main advantages. The first one is the ability to bring together all the possible Poisson equation solutions for all start and goal combinations in a map, guaranteeing that the resulting potential field does not have deadlocks. The second one is that the PGD-Vademecum is expressed as a sum of uncoupled multiplied terms: the geometric map and the start and goal configurations. Therefore, the harmonic potential field for any start and goal positions can be reconstructed extremely fast, in a nearly negligible computational time, allowing real-time path planning. The third one is that only a few uncoupled parameters are required to reconstruct the potential field with a low discretization error. Simulation results are shown to validate the abilities of this technique.
dc.formatapplication/pdf
dc.identifier.citationMontés, N., Chinesta, F., Falcó, A., Mora, M., Hilario, L. and Duval, J. (2019). A PGD-based method for robot global path planning : a primer. In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019), pp. 31-39. DOI: https://doi.org/10.5220/0007809000310039
dc.identifier.doihttps://doi.org/10.5220/0007809000310039
dc.identifier.isbn978-989-758-380-3
dc.identifier.issn2184-2809
dc.identifier.urihttp://hdl.handle.net/10637/13375
dc.language.isoen
dc.publisherScience and Technology Publications.
dc.relation.ispartofProceedings of the 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019).
dc.rightsopen access
dc.rights.cchttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subjectRobótica - Modelos matemáticos.
dc.subjectRobotics - Mathematical models.
dc.subjectMétodos de simulación.
dc.subjectMachine theory.
dc.subjectSimulation methods.
dc.subjectAutómatas matemáticos, Teoria de.
dc.titleA PGD-based method for robot global path planning : a primer
dc.typeComunicación
dspace.entity.typePublicationes
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relation.isAuthorOfPublication.latestForDiscovery9596df8c-5f91-4c71-9587-f431b684e53d

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