Autonomous Motion Planning for Avatars Limbs

Authors

  • Cristian E. Boyain y Goytia Luna Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
  • Andres Mendez Vazquez Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
  • Marco Antonio Ramos Corchado Universidad Autónoma del Estado de México

DOI:

https://doi.org/10.13053/cys-19-3-2009

Keywords:

Avatar, rapidly-exploring random tree, degree of freedom, ontology, kinesiology

Abstract

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.

Author Biographies

Cristian E. Boyain y Goytia Luna, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional

Received his M.Sc. from the Center for Research and Advanced Studies of the IPN (CINVESTAV), Guadalajara campus, in 2009. His research interests are motion planning, reinforcement learning, and computer animation.

Andres Mendez Vazquez, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional

Received his Ph.D. from the University of Florida, Gainesville, USA in 2008. He is a research professor at the Center for Research and Advanced Studies of the IPN (CINVESTAV), Guadalajara campus. His research interests include machine learning and data mining, artificial intelligence, computer vision, analysis of algorithms, and numerical optimization.

Marco Antonio Ramos Corchado, Universidad Autónoma del Estado de México

Received his Ph.D. from the University of Toulouse, France. He is a research professor of Artificial Intelligence and Virtual Reality at the Autonomous University of Mexico State. His research interests include animation techniques, artificial life, artificial intelligence, distributed systems, and intelligent agents.

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Published

2015-09-30

Issue

Vol. 19 No. 3 (2015): 19(3) 2015 Thematic issue: Vision and Robotics (Guest editors: S. Ortega, A. Pedroza, O. Carbajal, B. Castillo Toledo)

Section

Articles

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