Autonomous systems require the ability to analyze their environment and develop responsive plans of action. Autonomous vehicle research has led to the development of several land, sea, and air vehicle prototypes. These systems integrate vision, diagnostics, planning, situation assessment, tactical reasoning, and intelligent control at a variety of levels to function in limited environments or computer simulation. Route planning in these systems has historically focused on pure numerical computations unable to adapt to the dynamic nature of the world. This paper describes a knowledge-based system for autonomous route planning that has been applied to airborne vehicles. Specific focus is the vehicle model knowledge source that validates routes based upon the physical capabilities of the helicopter system. An overview of the autonomous helicopter is present to establish system context with specific results in validated route planning presented.


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    Title :

    Control System Validation In The Autonomous Helicopter


    Contributors:

    Conference:

    Applications of Artificial Intelligence VII ; 1989 ; Orlando,FL,United States


    Published in:

    Proc. SPIE ; 1095 ; 1090


    Publication date :

    1989-03-21





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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