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.


    Access

    Download


    Export, share and cite



    Title :

    Autonomous Motion Planning for Avatar Limbs



    Publication date :

    2015-01-01


    Remarks:

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


    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




    Planning autonomous motion

    CENSI ANDREA / FRAZZOLI EMILIO / CHANG HSUN-HSIEN et al. | European Patent Office | 2020

    Free access

    Planning autonomous motion

    CENSI ANDREA / FRAZZOLI EMILIO / CHANG HSUN-HSIEN et al. | European Patent Office | 2022

    Free access

    Planning autonomous motion

    CENSI ANDREA / FRAZZOLI EMILIO / CHANG HSUN-HSIEN et al. | European Patent Office | 2022

    Free access

    PLANNING AUTONOMOUS MOTION

    CENSI ANDREA / FRAZZOLI EMILIO / CHENG HSUN-HSIEN et al. | European Patent Office | 2024

    Free access

    PLANNING AUTONOMOUS MOTION

    CENSI ANDREA / FRAZZOLI EMILIO / CHANG HSUN-HSIEN et al. | European Patent Office | 2019

    Free access