Sensory-motor control of intelligent robots using oscillatory neural networks

M. J. Denham, S. Patel, L. J. Troup, M. P. Norman

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The authors describe some preliminary results on the application of oscillatory neural networks to the coordination and control of nonrhythmic, sensor-induced, free movement in intelligent adaptive industrial robots. In such devices, as appears to be the case in living creatures, sensory stimuli arrive at specific sensors and generate oscillatory space-time neural activity which results in recognition, association, and generation of corresponding motor trajectories. Some preliminary results are described from network simulations which demonstrate this type of behavior, and an attempt is made to relate them to recent experimental results from neurophysiological studies of visual perception.
    Original languageEnglish
    Title of host publicationProceedings of the 30th IEEE Conference on Decision and Control
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Pages168-169
    Number of pages2
    ISBN (Print)0-7803-0450-0
    DOIs
    Publication statusPublished - 6 Aug 2002

    Keywords

    • Robots
    • Sensory-control
    • Oscillatory neural networks

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