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A control system using behaviour hierarchies and neuro-fuzzy approach
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Date
2005
Author
Arslan, Dilek
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In agent based systems, especially in autonomous mobile robots, modelling the environment and its changes is a source of problems. It is not always possible to effectively model the uncertainity and the dynamic changes in complex, real-world domains. Control systems must be robust to changes and must be able to handle these uncertainties to overcome this problem. In this study, a reactive behaviour based agent control system is modelled and implemented. The control system is tested in a navigation task using an environment, which has randomly placed obstacles and a goal position to simulate an environment similar to an autonomous robot̕s indoor environment. Then the control system was extended to control an agent in a multi-agent environment. The main motivation of this study is to design a control system which is robust to errors and easy to modify. Behaviour based approach with the advantages of fuzzy reasoning systems is used in the system.
Subject Keywords
Computer software.
URI
http://etd.lib.metu.edu.tr/upload/12605743/index.pdf
https://hdl.handle.net/11511/15019
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Graduate School of Natural and Applied Sciences, Thesis
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D. Arslan, “A control system using behaviour hierarchies and neuro-fuzzy approach,” M.S. - Master of Science, Middle East Technical University, 2005.
