Digital twin of a heterogeneous machine park for the complete machining of components and of the assembly for efficient, 3D-based employee assistance

TwinMaP

TwinMaP (2023-2026)

This project is funded by the European Union and the Federal Ministry for Economic Affairs and Climate Action, Germany. The project's aim is to develop a digital twin of entire, heterogeneous machine parks for overall process optimization in component production and a digital twin of assembly stations. For the University of Applied Sciences Emden/Leer, the area of smart assembly is relevant as part of the research focus on industrial computer science and the professorship for industrial computer science / assistance systems. The aim is to use modern methods of human-machine interaction, develop new processes and transfer processes into application in order to develop worker-centric solutions for the intelligent creation and optimization of work instructions. Those solutions should improve the integration of workers into the digital factory and at the same time have a high level of acceptance among employees. The innovation of the sub-project is the focus on the employees as experienced experts on the assembly line: work instructions are flexibly adapted to the requirements of employees and employee feedback is actively evaluated for the automated continuous optimization of work instructions.
Compilation of serveral methods to guide workers. Taken from "Combining Simulation and Augmented Reality Methods for Enhanced Worker Assistance in Manual Assembly", 2019.

A compilation of guiding techniques. Taken from E. Lampen, J. Teuber, F. Gaisbauer, T. Bär, T. Pfeiffer, and S. Wachsmuth, “Combining Simulation and Augmented Reality Methods for Enhanced Worker Assistance in Manual Assembly,” Procedia CIRP, vol. 81, p. 588–593, 2019. doi:10.1016/j.procir.2019.03.160

Project partners

Hochschule Emden/Leer is one of eleven partners in this joined research project. Other partners are:
  • Daimler Buses GmbH
  • DFKI - Deutsches Forschungsinstitut für Künstliche Intelligenz GmbH
  • FORCAM GmbH
  • ifak e.V.
  • IPI - Institut für Produktion und Informatik
  • ISG Industrielle Steuerungstechnik GmbH
  • SimPlan AG
  • Trumpf Gruppe
  • TWT GmbH Science & Innovation
  • VELIT Consulting GmbH & Co. KG
TO THE OFFICIAL TWINMAP WEBSITE

Team Emden

Responsible Investigators:

Student workers

Felix Krumstroh

Andrés Antonio Eisenmann Franco

Related Work

  • P. Renner and T. Pfeiffer, “AR-Glasses-Based Attention Guiding for Complex Environments – Requirements, Classification and Evaluation,” in Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, New York, NY, USA, 2020. doi:10.1145/3389189.3389198
  • E. Lampen, J. Lehwald, and T. Pfeiffer, “A Context-Aware Assistance Framework for Implicit Interaction with an Augmented Human,” in Virtual, Augmented and Mixed Reality. Industrial and Everyday Life Applications, Cham, 2020, p. 91–110.
  • E. Lampen, J. Lehwald, and T. Pfeiffer, “Virtual Humans in AR: Evaluation of Presentation Concepts in an Industrial Assistance Use Case,” in Proceedings of the 26th ACM Symposium on Virtual Reality Software and Technology, New York, NY, USA, 2020. doi:10.1145/3385956.3418974
  • J. Blattgerste, P. Renner, and T. Pfeiffer, “Authorable Augmented Reality Instructions for Assistance and Training in Work Environments,” in Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia, New York, NY, USA, 2019. doi:10.1145/3365610.3365646
  • P. Agethen, V. Subramanian Sekar, F. Gaisbauer, T. Pfeiffer, M. Otto, and E. Rukzio, “Behavior Analysis of Human Locomotion in Real World and Virtual Reality for Manufacturing Industry,” ACM Transactions on Applied Perception (TAP), vol. 15, iss. 3, 2018. doi:10.1145/3230648
  • P. Agethen, M. Link, F. Gaisbauer, T. Pfeiffer, and E. Rukzio, “Counterbalancing virtual reality induced temporal disparities of human locomotion for the manufacturing industry,” in Proceedings of the 11th Annual International Conference on Motion, Interaction, and Games – MIG ’18, 2018. doi:10.1145/3274247.3274517
  • P. Renner, J. Blattgerste, and T. Pfeiffer, “A Path-based Attention Guiding Technique for Assembly Environments with Target Occlusions,” in IEEE Virtual Reality 2018, 2018.
  • T. Pfeiffer, J. Hellmers, E. Schön, and J. Thomaschewski, “Empowering User Interfaces for the Industry 4.0,” Proceedings of the IEEE, vol. 104, iss. 5: Special Issue on Cyberphysical Systems, p. 986 – 996, 2016. doi:10.1109/JPROC.2015.2508640