One promising approach to neural network controlled robotics is the use of autoassociative networks. These networks learn to move a sensor and effector vector through a plausible state-space.


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    Title :

    An improved autoassociative network for controlling autonomous robots


    Contributors:
    Hand, C. (author)

    Conference:

    ISCA 16th International Conference


    Publication date :

    2001-03-28


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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