This paper proposes a method for the automated generation of roadmaps for AGVs. So far the roadmaps are mostly generated
manually, which leads to long and laborious planning phases. The presented method incorporates both mathematical roadmap
algorithms as well as human knowledge in the form of a fuzzy inference system. The results of the expert system are
evaluated in comparisons to the A* algorithm and to manually generated roadmaps on a real production layout. In both cases
the expert system performs better.
AT – Automatisierungstechnik covers the entire field of automation technology. It presents the development of theoretical procedures and their possible applications. Topics include new discoveries about the development and application of methods. It presents the function, properties, and applications of tools and includes contributions from the worlds of research, academia, and industry.