Adaptive two layer fuzzy control of a mobile robot system

M. Mohammadian; R. J. Stonier

doi:10.1109/ICEC.1995.489145

Adaptive two layer fuzzy control of a mobile robot system

M. Mohammadian, R. J. Stonier

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

7 Citations (Scopus)

75 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 language	English
Title of host publication	Proceedings of 1995 IEEE International Conference on Evolutionary Computation
Place of Publication	Perth, Australia
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	204-208
Number of pages	5
ISBN (Print)	0780327594
DOIs	https://doi.org/10.1109/ICEC.1995.489145
Publication status	Published - 1 Dec 1995
Externally published	Yes
Event	Proceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2) - Perth, Aust Duration: 29 Nov 1995 → 1 Dec 1995

Conference

Conference	Proceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2)
City	Perth, Aust
Period	29/11/95 → 1/12/95

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10.1109/ICEC.1995.489145

Conference contributionFinal published version, 389 KB

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title = "Adaptive two layer fuzzy control of a mobile robot system",

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.",

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doi = "10.1109/ICEC.1995.489145",

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booktitle = "Proceedings of 1995 IEEE International Conference on Evolutionary Computation",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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note = "Proceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2) ; Conference date: 29-11-1995 Through 01-12-1995",

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Mohammadian, M & Stonier, RJ 1995, Adaptive two layer fuzzy control of a mobile robot system. in Proceedings of 1995 IEEE International Conference on Evolutionary Computation. IEEE, Institute of Electrical and Electronics Engineers, Perth, Australia, pp. 204-208, Proceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2), Perth, Aust, 29/11/95. https://doi.org/10.1109/ICEC.1995.489145

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AB - 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.

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BT - Proceedings of 1995 IEEE International Conference on Evolutionary Computation

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T2 - Proceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2)

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ER -

Adaptive two layer fuzzy control of a mobile robot system

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