AGV Path Planning in Unknown Environment Using Fuzzy Inference Systems

Path planning is one of the most important fields of research in the area of robotics. In this paper, a path planning method for a certain type of wheeled mobile robots called automated guided vehicles (AGVs) is proposed. The proposed model applies fuzzy control techniques to navigate the AGV in an...

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Bibliographic Details
Published in2006 1ST IEEE International Conference on E-Learning in Industrial Electronics pp. 64 - 67
Main Authors Majdi, M., Deldar, M., Barzamini, R., Jouzdani, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2006
Subjects
Computational complexity
Fuzzy control
Fuzzy systems
Infrared sensors
Mobile robots
Navigation
Path planning
Robotics and automation
Wheels
Wire
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Summary:Path planning is one of the most important fields of research in the area of robotics. In this paper, a path planning method for a certain type of wheeled mobile robots called automated guided vehicles (AGVs) is proposed. The proposed model applies fuzzy control techniques to navigate the AGV in an unknown environment to reach a certain destination. In addition, a new method for escaping local minimums, which may be very critical issue faced by an AGV in an unknown environment, is introduced. Simulation results show satisfactory performance of the proposed method
ISBN:9781424403233
1424403235
DOI:10.1109/ICELIE.2006.347213