This paper reviews a theory of robot motion planning and elaborates an application in which neural networks are used to take decisions regarding the orientation of a robot in its search for a destination target.The Simulink is used as a tool to implement the concepts. The neural networks allow obtaining a model of inverse dynamic, indeed the mathematical model of robot. The test was realized with different types of trajectories to validate the methodology proposed. A servosystem was adjusted optimally by the implementationof an heuristic technic.


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    Title :

    Following of Trayectories for a Mobile Robot Using Neural Networks




    Publication date :

    2008-09-01


    Size :

    245916 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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