DocumentCode
2149186
Title
Multi AGV hybrid path planning using fuzzy inference systems
Author
Khanmohammadi, S. ; Mirnia, M.K. ; Rezvani, K. ; Badamchizadeh, M.A.
Author_Institution
Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz, Iran
Volume
1
fYear
2010
fDate
26-28 Feb. 2010
Firstpage
789
Lastpage
792
Abstract
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 multi AGVs in an unknown environment to reach certain destinations by using hybrid.
Keywords
fuzzy control; fuzzy logic; fuzzy reasoning; mobile robots; path planning; vehicles; wheels; fuzzy control; fuzzy inference system; fuzzy logic; hybrid path planning; multiautomated guided vehicle; robotics; wheeled mobile robots; Battery powered vehicles; Fuzzy control; Fuzzy logic; Fuzzy systems; Hybrid intelligent systems; Mass production; Mobile robots; Navigation; Path planning; Robotics and automation; AGV; Fuzzy logic; Path planning; moving obstacles;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5585-0
Electronic_ISBN
978-1-4244-5586-7
Type
conf
DOI
10.1109/ICCAE.2010.5451236
Filename
5451236
Link To Document