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.
