Architectural design of a situated multiagent system for controlling automatic guided vehicles
by Danny Weyns, Tom Holvoet
International Journal of Agent-Oriented Software Engineering (IJAOSE), Vol. 2, No. 1, 2008

Abstract: Automatic Guided Vehicles (AGVs) are fully automated vehicles that are able to transport goods in an industrial environment. To cope with new and future system requirements such as flexibility and openness, we have applied a situated Multiagent System (MAS) to develop a decentralised control architecture for AGV transportation systems. In this paper, we give an overview of the software architecture of the system and we zoom in on two specific concerns: transport assignment and collision avoidance. We discuss the evaluation of the software architecture and the test results obtained from realistic simulations and a demonstrator system that we have developed. The architectural design and development of this real-world application teaches us that the primary use of a situated MAS comes from the way in which it structures the software. In particular, the set of adaptive agents that coordinate through the environment allows us to shape the software architecture of the transport application to provide the required functionalities of the system and achieve the important quality goals of flexibility and openness.

Online publication date: Wed, 23-Jan-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Agent-Oriented Software Engineering (IJAOSE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com