Solving the feasibility problem in robotic motion planning by means of  Enzymatic Numerical P systems

Pérez Hurtado de Mendoza, Ignacio; Martínez del Amor, Miguel Ángel; Zhang, Gexiang; Neri, Ferrante; Pérez Jiménez, Mario de Jesús

Ponencia

dc.creator	Pérez Hurtado de Mendoza, Ignacio	es
dc.creator	Martínez del Amor, Miguel Ángel	es
dc.creator	Zhang, Gexiang	es
dc.creator	Neri, Ferrante	es
dc.creator	Pérez Jiménez, Mario de Jesús	es
dc.date.accessioned	2021-11-24T11:24:40Z
dc.date.available	2021-11-24T11:24:40Z
dc.date.issued	2019
dc.identifier.citation	Pérez Hurtado de Mendoza, I., Martínez del Amor, M.Á., Zhang, G., Neri, F. y Pérez Jiménez, M.d.J. (2019). Solving the feasibility problem in robotic motion planning by means of Enzymatic Numerical P systems. En ACMC 2019: The 8th Asian Conference on Membrane Computing (152-165), Xiamen, China: IMCS: International Membrane Computing Society.
dc.identifier.uri	https://hdl.handle.net/11441/127639
dc.description.abstract	Solving the feasibility problem in robotic motion planning means to find feasible trajectories for specific mobile robots acting in environments with obstacles whose positions are known a priori. The Rapidly-exploring Random Tree (RRT) algorithm is a classical algorithm to solve such a problem in real-life applications. In this paper, we provide a model in the framework of Enzymatic Numerical P systems to reproduce the behaviour of the RRT algorithm. A C++ ad-hoc simulator is also provided to validate the model.	es
dc.description.sponsorship	Ministerio de Economía, Industria y Competitividad TIN2017-89842-P	es
dc.format	application/pdf	es
dc.format.extent	14	es
dc.language.iso	eng	es
dc.publisher	IMCS: International Membrane Computing Society	es
dc.relation.ispartof	ACMC 2019: The 8th Asian Conference on Membrane Computing (2019), pp. 152-165.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Motion Planning	es
dc.subject	Rapidly-exploring Random Tree	es
dc.subject	Membrane computing	es
dc.subject	Enzymatic numerical P systems	es
dc.title	Solving the feasibility problem in robotic motion planning by means of Enzymatic Numerical P systems	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/publishedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial	es
dc.relation.projectID	TIN2017-89842-P	es
dc.contributor.group	Universidad de Sevilla. TIC193 : Computación Natural	es
dc.publication.initialPage	152	es
dc.publication.endPage	165	es
dc.eventtitle	ACMC 2019: The 8th Asian Conference on Membrane Computing	es
dc.eventinstitution	Xiamen, China	es
dc.relation.publicationplace	Xiamen, China	es
dc.contributor.funder	Ministerio de Economia, Industria y Competitividad (MINECO). España	es

Ficheros	Tamaño	Formato	Ver	Descripción
ACMC2019.pdf	7.182Mb	[PDF]	Ver/Abrir

Este registro aparece en las siguientes colecciones

Ponencias (Ciencias de la Computación e Inteligencia Artificial)

Mostrar el registro sencillo del ítem

Excepto si se señala otra cosa, la licencia del ítem se describe como: Attribution-NonCommercial-NoDerivatives 4.0 Internacional