As part of the project, we are developing advanced AI methods for digitally supported aircraft shell construction. The aim is to make assembly processes more efficient, resource-saving and powerful, and to gain new insights into the improvement of AI systems in manufacturing. We are investigating this with two use cases: the automated control of robots for joining tasks and AI-supported adaptive work planning for semi-automated assembly.

Further information can be found here.

The project opens up two perspectives for AR/VR solutions. On the one hand, a solution will be developed, tested and made available that teachers with little IT expertise can use and fill with their own, diverse teaching content. On the other hand, the developed solution will be available as open source so that researchers and developers from universities in NRW can further develop it for new research and teaching purposes.

Further information can be found here.

The aim of the research project is the development, testing and implementation of deep learning methods for inline quality prediction in welding processes as well as the research and development of continuous learning methods in order to be able to use the trained models sustainably and efficiently across process variants. The models will be able to evaluate the current process status on the basis of heterogeneous data from the welding process - including manipulated variables and sensor data - and derive a quantitative prediction of the expected weld seam quality.

Further information can be found here.

Within the scope of the project the TMDT is researching the implementation of an innovative data marketplace, which enables cities, companies and citizens to make static and real-time data available and to analyze them. For this purpose we investigate state-of-the-art technologies like knowledge graphs and deep learning.

You can find more information here.

As part of the project, we will enable citizens to become direct producers of products and services of a modern smart city by creating the basic technological structure on the one hand and imparting the necessary expertise on the other. To this end, the project will host various activities such as challenges and hackathons and challenge the creativity of local civilians.

You can find more information here.

The goal of the project is to develop a platform for early networking between students and regional companies in the Bergisch region. On this platform, companies are given the opportunity to provide their own data science problems in defined challenges, which are then solved by students. Both in the conceptual design of the challenges and in the evaluation of the produced results, the TMDT supports in cooperation with partners from the university research (e.g. the IZMD) by experienced scientific staff.

You can find more information here.

Within the framework of the in-house project KoLBi-BK, a quantitative and qualitative profiling of industrial and technical schooling at vocational colleges is to be carried out. The focus of the TMDT is on the design of industrial and technical classes with virtual reality. Student teachers will be taught how to create virtual reality lessons and the development of teaching concepts with virtual reality will be examined.

Further information can be found here.