An adaptive state space architecture is combined with diktiometric representation to provide the framework for designing a robot mapping system with flexible navigation planning tasks. This involves indexing waypoints described as expectations, geometric indexing, and perceptual indexing. Matching and updating the robot's projected position and sensory inputs with indexing waypoints involves matchers, dynamic priorities, transients, and waypoint restructuring. The robot's map learning can be organized around the principles of passive mapping.


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    Titel :

    Passive Mapping and Intermittent Exploration for Mobile Robots


    Beteiligte:
    S. P. Engleson (Autor:in)

    Erscheinungsdatum :

    1994


    Format / Umfang :

    10 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch





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