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
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;
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
DOI :
10.1109/ICCAE.2010.5451236
