Título

Autonomous Motion Planning for Avatar Limbs

Autor

CRISTIAN EDUARDO BOYAIN Y GOYTIA LUNA

ANDRES MENDEZ VAZQUEZ

Marco Antonio Ramos Corchado

Nivel de Acceso

true

Acceso Abierto

Resumen o descripción

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.

Editor

Instituto Politécnico Nacional

Fecha de publicación

2015

Tipo de publicación

Artículo

Formato

application/application/pdf

Fuente

Computación y Sistemas (México) Num.3 Vol.19

Idioma

Inglés

Relación

http://www.redalyc.org/revista.oa?id=615

Audiencia

Estudiantes

Investigadores

Repositorio Orígen

REPOSITORIO INSTITUCIONAL DE LA UAEM

Descargas

0

Comentarios



Necesitas iniciar sesión o registrarte para comentar.