Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Dynamic task assignment of autonomous AGV system based on multi agent architecture

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Fazli bin Md Fauadi, M.H. ; Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan ; Haowen Lin ; Murata, T.

Increasing number of worldwide researchers and practitioners within manufacturing industry had recognized the need for an organization to implement distributed manufacturing system to be flexible and adaptable to a more demanding and fluctuating market. This paper proposes distributed architecture to control Automated Guided Vehicle (AGV) operation in manufacturing industry based on multi- agent system (MAS). System and agent architectures had been designed to enable control the material handling activities. All agents are equipped with decision making capability to plan and execute their responsibilities autonomously or collectively when needed. Additionally, improvement had been made to FIPA Contract Net Protocol (CNP) to support dynamic attributes of AGV task assignment mechanism.

Published in:

Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on  (Volume:2 )

Date of Conference:

10-12 Dec. 2010