automated guided vehicles

Designing a road layout for automated guided vehicles (AGV) can be a very laborious process that is based in big parts upon the knowledge of experienced system planers. Up until now, it is not possible to save that knowledge in a form that makes it usable in an automated layout process for AGV-roadmaps. The research project aims to integrate the knowledge of the system planers in an artificial intelligence, so in the future an automated process of designing AGV roadmaps is achievable. The knowledge is implemented within a fuzzy-logic and can be used as a controller for the planning process.

The human being has the ability to adapt to physical changes in the production and logistic environment. The aim of this research project is to equip series transport vehicle with additional intelligent technique so that the vehicle becomes an automated guided vehicle (AGV) and to reduce the commissioning effort for AGVs. The user can control the AGV by voice and gesture so the AGV can do the work automatically. To realize such an interactive system it is important to develop decentralized controllers for the AGV. Thus, it is possible that the AGV is able to flexibly adapt his own behaviour.