Design And Optimization Of A Fuzzy Logic Controller For A Simulated Autonomous Robot
- Authors
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Catalin Buiu
"Politehnica" University of Bucharest, Department of Automatic Control and Systems Engineering
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Ioan Dumitrache
"Politehnica" University of Bucharest, Department of Automatic Control and Systems Engineering
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Marius Zainea
"Politehnica" University of Bucharest, Department of Automatic Control and Systems Engineering
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- Abstract
- Real-time obstacle avoidance is a desired behavior for a robot in an unknown environment. Intelligent control techniques have offered have offered a lot of opportunities to design efficient controllers for a safe navigation in a real-world environment. This paper presents some ideas that use fuzzy logic as a simple and intuitive way to design controllers for obstacle avoidance. Two second one is optimized using genetic algorithms, and both structures are tested in a simulation environment.
- References
- Published
- 2003-09-30
- Issue
- Vol. 5 No. 3,4 (2003)
- Section
- Articles