AGV path planning in unknown environment using fuzzy inference systems

被引：2
|
作者：
Majdi, Morteza [1 ]
Deldar, Majid [2 ]
Barzamini, Roohollah [2 ]
Jouzdani, Javid [2 ]
机构：
[1] Tehran S Univ, Azad Islam Univ, South Tehran Branch, Tehran, Iran
[2] Tehran Polytech, Amirkabir Univ Technol, Tehran, Iran
来源：
2006 1ST IEEE INTERNATIONAL CONFERENCE ON E-LEARNING IN INDUSTRIAL ELECTRONICS | 2006年
关键词：
D O I：
10.1109/ICELIE.2006.347213
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：64 / +
页数：2
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