A control system using behavior hierarchies and neuro-fuzyy approach

Date

2005-09-14

Author

Arslan, Didem
Alpaslan, Ferda Nur

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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 uncertainty and the dynamic changes in complex, real-world domains. Control systems must be robust to changes and must be able to handle the 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 robot’s 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 is easy to modify. Behaviour based approach with the advantages of fuzzy reasoning systems is used in the system

URI

https://hdl.handle.net/11511/88266

DOI

https://doi.org/10.5220/0001158802220229

Conference Name

2nd international conference on informatics in control, automation and (ICINCO 2005)

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

D. Arslan and F. N. Alpaslan, “A control system using behavior hierarchies and neuro-fuzyy approach,” presented at the 2nd international conference on informatics in control, automation and (ICINCO 2005), Barcelona, İspanya, 2005, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/88266.