Control Classification of Automated Guided Vehicle Systems
Mudit Sharma
Mudit Sharma, Department of Mechanical Engineering Mewar University, Chittorgarh Rajasthan.
Manuscript received on September 14, 2012. | Revised Manuscript received on October 02, 2012. | Manuscript published on October 30, 2012. | PP: 191-196 | Volume-2 Issue-1, October 2012.  | Retrieval Number: A0789102112 /2012©BEIESP

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Abstract: An automated guided vehicle or automatic guided vehicle (AGV) is a mobile robot that follows markers or wires in the floor, or uses vision or lasers. They are most often used in industrial applications to move materials around a manufacturing facility or a warehouse. Application of the automatic guided vehicle has broadened during the late 20th century and they are no longer restricted to industrial environments. Automated guided vehicle systems (AGVS) are widely used for transporting material in manufacturing and warehousing applications. These systems offer many advantages over other forms of material transport. However, the design of these systems is complex due to the interrelated decisions that must be made and the large number of system design alternatives that are available. In particular, the design of the AGVS control system can be quite challenging, and it can dramatically affect the system cost and performance. This paper presents a classification of automated guided vehicle systems developed from a control perspective. This classification is demonstrated on several example systems from the literature. This paper develops a classification scheme that provides a structured mechanism for organizing the relevant information about the design of the AGVS from a control perspective. It allows the system designer to determine how design decisions will impact the control complexity. It also provides the foundation for a design aid that will help the system designer determine the most appropriate AGVS design for a specific application. 
Keywords: AGV, AGVS