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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