Project

marion

Mobile autonome, kooperative Roboter in komplexen Wertschöpfungsketten

Mobile autonome, kooperative Roboter in komplexen Wertschöpfungsketten

  • Duration:

The marion project aims to automate the working processes in the intra-logistics and agriculture areas through the collaboration of autonomous vehicles.

Many industries have to continuously increase their productivity due to competitive environments. The dependencies within the supply chains thus become stronger and the participants are more interconnected with each other. Increasing the efficiency through machines provides only limited improvement to overall productivity. Of greater importance is the implementation of intelligent management of the supply chain which takes into account the specific capabilities of the machines and their mobility, especially in dynamic environments. Business process automation and robotization are often considered as to be one and the same because robots are not only technological solutions but are deeply engaged in the process organization.

In the marion project, the automation will be realized through intelligent assistant systems that perform the processes autonomously and support the people involved in those processes. The implementations will be carried out within two application areas; intralogistics transport systems in the subproject "Intralogistic automated load and unload from trailer train" (STILL) and agriculture in the subproject "Infield-transport logistic autonomous agricultural machines" (CLAAS).

The modelling of the working process and the realizations of its functionalities in logistic and agriculture areas will be conducted in the subproject "Modelling and architecture for autonomous systems" (Atos). In addition, this subproject is responsible for the IT architecture and business models for later recovery. marion focuses on the motion and process planning for mobile machines and groups of machines. A partial result is a planning system that dynamically takes into account the present situation in its generated plan. This includes recognizing the necessity for re-planning and automatically generating such a plan. Appropriate processes should be carried out automatically by the system, while other processes are presented to the operator in the context-specific information to assist operator decisions. The planning system will be developed in the subproject "Automated dynamic planning system for transport logistic and working processes" (DFKI).

The marion project (08/2010-11/2013) is funded by the German Ministry of Economics (BMWi).

Partners

  • CLAAS Selbstfahrende Erntemaschinen GmbH (Konsortialführer),
  • STILL GmbH,
  • Atos IT Solutions and Services GmbH (C-LAB)

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Contact Person
Dr. Marc Ronthaler

Keyfacts

Publications about the project

Sebastian Pütz, Jorge Santos Simon, Joachim Hertzberg

In: Proc. IROS 2018. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2018) October 1-5 Madrid Spain IEEE 2018.

To the publication
Joachim Hertzberg, Juan Carlos Saborío

In: Proc. 9th Intl. Conf. Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART-2017) Porto Portugal Scitepress 2017.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz