Autonomous off-road navigation of robotic ground vehicles has important applications on Earth and in space exploration. Progress in this domain has been retarded by the limited lookahead range of 3-D sensors and by the difficulty of preprogramming systems to understand the traversability of the wide variety of terrain they can encounter.


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    Title :

    Learning for autonomous navigation


    Contributors:

    Conference:

    Neural Information Processing Systems ; 2005 ; Vancouver, British Columbia, Canada


    Publication date :

    2005-12-01


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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