Title

Autonomous Motion Planning for Avatar Limbs

Author

CRISTIAN EDUARDO BOYAIN Y GOYTIA LUNA

ANDRES MENDEZ VAZQUEZ

Marco Antonio Ramos Corchado

Access level

true

Open Access

Summary or 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.

Publisher

Instituto Politécnico Nacional

Publish date

2015

Publication type

Article

Format

application/application/pdf

Source

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

Language

English

Relation

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

Audience

Students

Researchers

Source repository

REPOSITORIO INSTITUCIONAL DE LA UAEM

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