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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).

Find further information about Hybr-iT here

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

BMBF - Federal Ministry of Education and Research

BMBF - Federal Ministry of Education and Research

Publications about the project

Marcel Köster; Julian Groß; Antonio Krüger

In: International Journal of Parallel Programming (IJPP), Vol. 48, No. 3, Pages 1-17, Springer, 6/2020.

To the publication

Dennis Mronga; Tobias Knobloch; José de Gea Fernández; Frank Kirchner

In: Advanced Robotics, Vol. 0, Pages 1-17, Taylor & Francis Online, 2020.

To the publication