Process-Optimized Planning for Cooperative Mobile Robots

Stephan Scheuren

In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI) 4/2014 Springer 12/2014.


In the last decades the efficiency of agricultural machines has been steadily increased. Due to physical and legal reasons, only little potential for further improvement remains when regarding a single machine. However, those machines spend a considerable amount of time idling, e.g. when a harvester has to wait for a transport vehicle. Coordination of cooperative machines yields potential for efficiency enhancements regarding the overall process. To profit from it superordinate planning systems have to be developed that optimize the machines' coordination regarding specific process goals. In this thesis such a planning system for a cooperative harvesting scenario is described. The harvesting and transport process of grain has to be planned and executed. The scenario is referred to as infield transport logistics (Figure 1) since the further street transport is not regarded.


Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence