Catalog Home Page

Intelligent automated guided vehicle with reverse strategy: A comparison study

Kato, S. and Wong, K.W. (2009) Intelligent automated guided vehicle with reverse strategy: A comparison study. In: 15th International Conference, ICONIP 2008, 25-28 November 2008, Auckland, N.Z. pp. 638-646.

Link to Published Version: http://dx.doi.org/10.1007/978-3-642-02490-0_78
*Subscription may be required
Google Books Preview: http://books.google.com/books?id=as8nXNuUVl0C&prin...
*Open access. Some pages may not be available

Abstract

This paper describes the intelligent automated guided vehicle (AGV) control system. The AGV used in this paper is a virtual vehicle simulated using computer. The purpose of the control system is to control the simulated AGV for moving along the given path towards the goal. Some obstacles can be placed on or near the path to increase the difficulties of the control system. The intelligent AGV should trace the path by avoiding these obstacles. In some situations, it is inevitable to avoid the obstacles without reversing. In this paper, we look into the use of fuzzy automaton for controlling the AGV. In order to better avoid the obstacles, reverse strategy has been implemented to the fuzzy automaton controller. Another alternative to incorporate the human expertise and observations is to use a hybrid intelligent controller using fuzzy and case base reasoning to implement the reverse strategy. This paper presents the comparison results for the three intelligent AGV systems used to avoid obstacles.

Publication Type: Conference Paper
Murdoch Affiliation: School of Information Technology
Publisher: Springer Berlin
Copyright: © 2009 Springer Berlin Heidelberg.
URI: http://researchrepository.murdoch.edu.au/id/eprint/971
Item Control Page