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An Advanced Robot Control Scheme Using ANN and Fuzzy Theory Based Solutions

Published online by Cambridge University Press:  09 March 2009

Imre J. Rudas ,
János F. Bitó  and
József K. Tar
Imre J. Rudas
Affiliation:
Department of Information Technology, Bánki Donát Polytechnic, H-1428 Budapest, P. 0. Box 31 (Hungary)
János F. Bitó
Affiliation:
Department of Information Technology, Bánki Donát Polytechnic, H-1428 Budapest, P. 0. Box 31 (Hungary)
József K. Tar
Affiliation:
Department of Information Technology, Bánki Donát Polytechnic, H-1428 Budapest, P. 0. Box 31 (Hungary)
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Summary

Due to the essential development of different means of numerical computation in the last years, new prospects have been opened for realization of different advanced control methods as conventional reasoning, fuzzy rule or ANN-based AI controls. However, it can clearly be seen, that each of these methods have significant technological limits making it expedient to seek compromises between the application of such methods and certain particular hardware solutions designed for a concrete problem. The aim of this paper is to show that in quite wide a range of practically important control tasks appropriate hardware solutions can be elaborated and combined with the above methods.

Keywords

Robot controlFuzzy theoryANN-based method.
Type
Article
Information
Robotica , Volume 14 , Issue 2 , March 1996 , pp. 189 - 198
Copyright
Copyright © Cambridge University Press 1996

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