Title :
Dynamic control systems for AGVs
Author :
Bostel, A.J. ; Sagar, V.K.
Author_Institution :
Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
Abstract :
AGVs are automatic load carriers that transfer objects from one location to another in a factory environment. Due to the increasing complexity of factory floor environments coupled with the need for increased flexibility in AGV systems, it is becoming increasingly important to be able to control AGV fleets dynamically. A neural network based method for controlling AGVs is presented.
Keywords :
automatic guided vehicles; industrial robots; neurocontrollers; traffic control; AGV control; AGV systems; automatic load carriers; dynamic control systems; factory environment; factory floor environments; neural network based method; Neurocontrollers; Traffic control (transportation); Vehicles;
Journal_Title :
Computing & Control Engineering Journal
DOI :
10.1049/cce:19960403
