Biological visuo-motor control of a pneumatic robot arm

M. Zeller, K. R. Wallace, K. Schulten

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

Abstract

We are investigating the application of biologically plausible neural architectures to the problem of the controlling movement of a limb in response to visual stimuli. Our approach is inspired by the ability of biological systems to develop highly accurate control strategies for movement by means of associations between random motor actions and the sensory consequences of these acts. This is achieved using information processing algorithms based upon Kohonen's self-organizing feature map algorithm (SOFM). As a means of enhancing the abilities of this system we have incorporated additional processing stages, the operation of which are based upon strategies that are consistent with neurobiological approaches to the problem of motor control.

Original languageEnglish (US)
Title of host publicationIntelligent Engineering Systems Through Artificial Neural Networks
EditorsC.H. Dagli, M. Akay, C.L.P. Chen, B.R. Fernandez, J. Ghosh
PublisherASME
Pages645-650
Number of pages6
Volume5
StatePublished - Dec 1 1995
EventProceedings of the 1995 Artificial Neural Networks in Engineering, ANNIE'95 - St.Louis, MO, USA
Duration: Nov 12 1995Nov 15 1995

Other

OtherProceedings of the 1995 Artificial Neural Networks in Engineering, ANNIE'95
CitySt.Louis, MO, USA
Period11/12/9511/15/95

ASJC Scopus subject areas

  • Software

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