The comparison of the performance of two artificial neural network or ANN paradigms trained to learn data obtained from the kinematics model of a UMI RTX robotic arm are presented. Trained ANN simulators were implemented to position the robotic manipulator demonstrating the feasibility of using ANN technology in actual implementation.


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    Title :

    Modeling of robot inverse kinematics using two ANN paradigms


    Contributors:
    Yang, S.S. (author) / Moghavvemi, M. (author) / Tolman, J.D. (author)


    Publication date :

    2000-01-01


    Size :

    852484 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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