Adaptive two layer fuzzy control of a mobile robot system

M. Mohammadian, R. J. Stonier

Research output: A Conference proceeding or a Chapter in BookConference contribution

5 Citations (Scopus)
3 Downloads (Pure)

Abstract

Various approaches have been proposed for solving collision avoidance problems in robotic systems [1, 2, 3, 4, 5, 6]. In this paper we propose a method for designing an adaptive two layer fuzzy control system for collision-free trajectory control of a multiple robot system. The proposed method is based on the integration of Genetic Algorithms and Fuzzy Logic. The robots are considered as point masses moving in a common work space. The knowledge base which controls how to navigate in the work space without collision is determined by learning via Genetic Algorithms.

Original languageEnglish
Title of host publicationProceedings of 1995 IEEE International Conference on Evolutionary Computation
Place of PublicationPerth, Australia
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages204-208
Number of pages5
ISBN (Print)0780327594
DOIs
Publication statusPublished - 1 Dec 1995
Externally publishedYes
EventProceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2) - Perth, Aust
Duration: 29 Nov 19951 Dec 1995

Conference

ConferenceProceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2)
CityPerth, Aust
Period29/11/951/12/95

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Mohammadian, M., & Stonier, R. J. (1995). Adaptive two layer fuzzy control of a mobile robot system. In Proceedings of 1995 IEEE International Conference on Evolutionary Computation (pp. 204-208). Perth, Australia: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICEC.1995.489145