Fully distributed traffic control strategies for many-AGV systems

Author

Wang, Jing

Author_Institution

Coll. of Eng., California Univ., Riverside, CA, USA

fYear

1991

fDate

3-5 Nov 1991

Firstpage

1199

Abstract

A model for studying fully distributed traffic control strategies for many-AGV systems in an operating field of a network of stations and passages is proposed. As a basic operating primitive, distributed mutual exclusion on a resource of capacity M (0<M⩽N, where N is the number of potential competitors) under this model is presented along with an algorithm that solves the fully distributed traffic control problem for a special case, where the capacity of stations is ∞. Research problems in such a system including deadlock detection and deadlock resolution are also discussed

Keywords

automatic guided vehicles; distributed control; mobile robots; planning (artificial intelligence); traffic control; automatic guided vehicles; deadlock detection; deadlock resolution; distributed traffic control; many-AGV systems; mobile robots; motion planning; passages; Centralized control; Computational modeling; Distributed control; Educational institutions; Power system reliability; Robot kinematics; Robotics and automation; System recovery; Traffic control; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Robots and Systems '91. 'Intelligence for Mechanical Systems, Proceedings IROS '91. IEEE/RSJ International Workshop on

Conference_Location

Osaka

Print_ISBN

0-7803-0067-X

Type

conf

DOI

10.1109/IROS.1991.174662

Filename

174662