Autonomous Driving of Multiple AGVs for FMS by Use of SLA

Abstract

In order to efficiently operate FMS with the AGV's driving, it becomes important to control AGVs driving. This paper represents a method of autonomous driving for multiple AGVs equipped with FMS. It is assumed that an FMS model has a one-way driving lane for AGVs and neither passing nor encounter between AGVs is allowed. AGV is modeled by SLA (Stochastic Learning Automaton) to have a capability of making driving decision by itself. Such a capability is accomplished by the stochastic learning process of SLA. Numerical experiments show that AGV can learn proper driving actions and operate its run in the shortest possible distance.