Towards a flexible hybrid planner for machine coordination in arable farming

Sebastian Stock, Kai Lingemann, Stefan Stiene, Joachim Hertzberg

In: Arno Ruckelshausen, Andreas Meyer-Aurich, Thomas Rath, Guido Recke, Brigitte Theuvsen (editor). Referate der 36. GIL-Jahrestagung in Osnabrück 2016 - Intelligente Systeme. Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft (GIL-16) February 22-23 Osnabrück Germany Pages 205-208 ISBN 978-3-88579-647-3 Gesellschaft für Informatik Bonn 2016.


In this paper we propose a new approach to coordinate multiple machines in the grain harvesting process, based on meta-constraint reasoning. This way we obtain more flexible plans that can be adapted at execution time. As an example scenario we focus on silage maize harvesting. We argue that more sophisticated flexible planning mechanisms are needed in order to obtain flexible plans that can be adapted at runtime to changing parameters such as yield per area.

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz