Project

Hybr-iT

Hybrid and Intelligent Human-Robot Collaboration - Hybrid Teams in Versatile, Cyber-Physical Production Environments

Hybrid and Intelligent Human-Robot Collaboration - Hybrid Teams in Versatile, Cyber-Physical Production Environments

  • Duration:

Aim of this project is the establishment and industrial testing of hybrid teams. These consist of humans, robots, software-based assistance systems as well as intelligent, virtual environments and are, from an IT point of view, highly distributed complete systems with very different IT and cyber-physical subsystems, i.e. system and robot controls, security, logistics, database, assistance, tracking, simulation and visualisation systems, etc. which have to be connected with each other with sufficient performance for the intended collaborative use in production. Therefore, an essential component and scientific challenge for the deployment of hybrid teams is a comprehensive resource-oriented architecture (ROA) for the connection of heterogeneous cyber-physical systems and IT environments. With the help of largely standardized interfaces and well-defined data models, this architecture allows a dynamic connection of all necessary subsystems (IT environments, cyber-physical systems and multimodal interaction and control hardware) as well as their individual further development. In addition, a secure and real-time communication layer is indispensable for resource-oriented architecture (see attached figure).

Partners

  • German Research Center for Artificial Intelligence GmbH (Project Coordination)
  • Airbus Operations GmbH
  • Bundesanstalt für Arbeitsschutz und Arbeitsmedizin
  • Broetje-Automation GmbH
  • EngRoTec GmbH & Co.KG
  • KUKA Roboter GmbH
  • The Captury GmbH
  • Volkswagen AG

Sponsors

Federal Ministry of Education and Research (BMBF)

01IS16026A

Federal Ministry of Education and Research (BMBF)

Publications about the project

Marcel Köster, Julian Groß, Antonio Krüger

In: International Journal of Parallel Programming (IJPP) International Journal of Parallel Programming. 48 3 Pages 1-17 Springer 6/2020.

To the publication
Dmitri Rubinstein, André Antakli, Torsten Spieldenner, Marcel Köster, Julian Groß, Erik Herrmann, Daniel Spieldenner, Ingo Zinnikus

In: Alessandro Bozzon , Jose Francisco and Dominguez Mayo , Joaquim and Filipe . Web Information Systems and Technologies. Pages 44-68 ISBN 978-3-030-61750-9 Springer International Publishing 2020.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz