We present an architecture for mobile robot navigation based on Bayesian networks. The architecture allows a robot to plan the correct path inside an environment with dynamic obstacles. Interactions between the robot and the environment are based on a powerful vision agent. The results of simulations, showing the effectiveness of the approach, are described.


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    Titel :

    A vision agent for mobile robot navigation in time-variable environments


    Beteiligte:
    Chella, A. (Autor:in) / Vitabile, S. (Autor:in) / Sorbello, R. (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    567138 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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