Publikation

Centralized Robotic Fleet Coordination and Control

Maximilian Berndt, Dennis Krummacker, Christoph Fischer, Hans Dieter Schotten

In: ITG-Fachbericht ITG-Fb. 299: Mobilkommunikation - Technologien und Anwendungen. VDE/ITG Fachtagung Mobilkommunikation (MKT) November 3-4 Osnabrück Germany Seiten 132-139 ITG-Fachberichte (ITG-Fb.) 299 VDE Verlag GmbH 11/2021.

Abstrakt

Modern production systems and processes tend to become increasingly flexible in order to meet customer demands. This means that the production environment must be modular and dynamically reconfigurable to ensure a satisfactory level of adaptability. Although the application of mobile robots for transportation purposes can potentially provide users with significant benefits, compared to traditional concepts, e.g. conveyor belts, it still comes with a lack of flexibility, which is often due to statically defined road or rail networks. In contrast, autonomous mobile robots that rely on on-board sensing and processing may come with a shortage in terms of predictability and energy efficiency and hence, optimization potential in terms of system availability. In this paper, we propose a centralized fleet coordination architecture for intralogistics use cases in highly automated production environments. The system is intended to provide a practical approach to centralized fleet management that enables optimal planning, safe vehicle control, rapid and flexible responsiveness to changing constraints as well as extended operating times. Relevant sub-systems and their function within the overall system are presented in detail. The functionality of the implemented system is demonstrated using Robot Operating System (ROS) in combination with a 3D simulation environment (Gazebo). Furthermore, the results generated using this simulation model are discussed. In subsequent studies, the applicability of the presented system will be demonstrated on a real world test bench.

Projekte

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence