A hybrid robot control system based on soft computing techniques

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

1 Citation (Scopus)

Abstract

This paper describes the so-called RobSim robot control system software. RobSim is a hybrid system based on soft computing techniques and includes a genetic algorithm component, a fuzzy logic component, and a component utilizing features derived from chaos theory. The presented system is an extension of our previous work. A new component of the system exploits the principle of self-similarity found in chaos theory via so-called adaptive fuzzy sets for problem solving. Compared to earlier versions the current system provides increased functionality, adaptability, and flexibility, extending the problem solving potential of the system to a wider range of applications.

Original languageEnglish
Title of host publicationAdvances in Applied Artificial Intelligence - 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006, Proceedings
PublisherSpringer Verlag
Pages187-196
Number of pages10
ISBN (Print)3540354530, 9783540354536
DOIs
Publication statusPublished - 2006 Jan 1
Externally publishedYes
Event19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006 - Annecy, France
Duration: 2006 Jun 272006 Jun 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4031 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006
CountryFrance
CityAnnecy
Period06/6/2706/6/30

Keywords

  • Fuzzy logic
  • Genetic algorithms

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Schuster, A. (2006). A hybrid robot control system based on soft computing techniques. In Advances in Applied Artificial Intelligence - 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006, Proceedings (pp. 187-196). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4031 LNAI). Springer Verlag. https://doi.org/10.1007/11779568_22