Erkennung von freistehenden Behältern für die Feinpositionierung eines Fahrerlosen Transportfahrzeugs

Abstract

In modern and flexible production environments, automated guided vehicles (AGV) must be able to detect the position of individual objects in space with low tolerances for specific tasks. Within the scope of this study, the position detection of freestanding containers is investigated using the example of FLIP®, a vehicle for infrastructureless decentralized container storage. Two different sensor systems and methods for the detection of the container position relative to the current vehicle position will be tested.