
Improved working conditions thanks to virtual commissioning
Virtual commissioning (VIBN) is the classic use case for the digital twin in mechanical and plant engineering.
Articles and background information on the topic

Virtual commissioning (VIBN) is the classic use case for the digital twin in mechanical and plant engineering.
Integration of robot-based production cells
The ISW at the University of Stuttgart researches the use of industrial robots for machining tasks and develops automation concepts that support the integration of robot-based production cells in companies.

After more than a year without national industrial trade fairs in Germany, the parallel Motek and Bondexpo, together with the special trade fairs Vision and Parts2Clean, are among the first to take place on site and with visitors again. Managing Director Bettina Schall talks about this year's special features in an interview.
A digital twin is versatile. It can do more than simply map a complete plant. It can also reduce stress levels for plant engineers. Thanks to integrated virtual commissioning, it ensures improved working conditions.

In future, users of Gefertec production systems will be able to carry out all CAD/CAM machining in the NX software from Siemens.
Machine learning processes open up new possibilities for evaluating data in a useful way, thereby increasing the level of intelligence of machines and systems.
The combination of edge and cloud in a common architecture enables modern production with real-time components and big data analysis. At the same time, this structure enables the flexible use of networked robots.
The development of a new integration approach for a robot in manual assembly is a new research topic at the Chair of Production Systems (LPS) at Ruhr-Universität Bochum (RUB).
The integration of cloud and edge solutions in cyber-physical production systems opens up new potential in automation. Among other things, research focuses on economic solutions for the challenges of digitalization.
The ISW at the University of Stuttgart is researching the programming of robots using machine learning in a virtual environment.