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dc.contributor.author	BOYAIN Y GOYTIA LUNA, CRISTIAN EDUARDO
dc.contributor.author	MENDEZ VAZQUEZ, ANDRES
dc.contributor.author	Ramos Corchado, Marco Antonio
dc.creator	BOYAIN Y GOYTIA LUNA, CRISTIAN EDUARDO; 227266
dc.creator	MENDEZ VAZQUEZ, ANDRES; 95644
dc.creator	Ramos Corchado, Marco Antonio; 37345
dc.date.accessioned	2016-03-16T17:17:56Z
dc.date.available	2016-03-16T17:17:56Z
dc.date.issued	2015
dc.identifier	http://www.redalyc.org/articulo.oa?id=61541546004
dc.identifier.uri	http://hdl.handle.net/20.500.11799/39488
dc.description	In this work, a new algorithm for autonomous avatar motion is presented. The new algorithm is based in the Rapidly-exploring Random Tree (RRT) and an appropriate ontology. It uses a novel approach for calculating the motion sequence planning for the different avatar limbs: legs or arms. First, the algorithm uses the information stored in the ontology concerning the avatar structure and the Degrees Of Freedom (DOFs) to obtain the basic actions for motion planning. Second, this information is used to perform the growth process in the RRT algorithm. Then, all this information is used to produce planning. The plans are generated by a random search for possible motions that respect the structural restrictions of the avatar on kinesiology studies. To avoid a big configuration space search, exploration, exploitation, and hill climbing are used in order to obtain motion plans.
dc.format	application/pdf
dc.language.iso	eng	es
dc.publisher	Instituto Politécnico Nacional
dc.relation	http://www.redalyc.org/revista.oa?id=615
dc.rights	Computación y Sistemas
dc.rights	openAccess	es
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0
dc.source	Computación y Sistemas (México) Num.3 Vol.19
dc.subject	Computación	es
dc.subject	Avatar	es
dc.subject	rapidly-exploring random tree	es
dc.subject	degree of freedom	es
dc.subject	ontology	es
dc.subject	kinesiology	es
dc.subject.classification	INGENIERÍA Y TECNOLOGÍA
dc.title	Autonomous Motion Planning for Avatar Limbs	es
dc.type	Artículo	es
dc.provenance	Científica	es
dc.road	Dorada	es
dc.ambito	Internacional	es
dc.audience	students	es
dc.audience	researchers	es
dc.type.conacyt	article
dc.identificator	7

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