An advanced robot control scheme using ANN and fuzzy theory based solutions

I. Rudas, János F. Bitó, J. Tar

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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. A particular control method will be investigated which is robust with respect to the inertia of the workpiece carried by the robot, and capable to be combined with the conventional fuzzy control methods or the ANN-based ones. A computer simulation is used to demonstrate the advantages of the method.

Original languageEnglish
Pages (from-to)189-198
Number of pages10
JournalRobotica
Volume14
Issue number2
Publication statusPublished - 1996

Fingerprint

Fuzzy Theory
Robot Control
Robots
Hardware
Fuzzy rules
Fuzzy control
Fuzzy Rules
Fuzzy Control
Computer simulation
Numerical Computation
Inertia
Computer Simulation
Reasoning
Robot
Range of data
Demonstrate

Keywords

  • ANN-based method
  • Fuzzy theory
  • Robot control

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

An advanced robot control scheme using ANN and fuzzy theory based solutions. / Rudas, I.; Bitó, János F.; Tar, J.

In: Robotica, Vol. 14, No. 2, 1996, p. 189-198.

Research output: Contribution to journalArticle

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