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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    Title :

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


    Contributors:
    Chella, A. (author) / Vitabile, S. (author) / Sorbello, R. (author)


    Publication date :

    2001-01-01


    Size :

    567138 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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