Simulation of Real Objects

There is a critical need to understand and predict the behavior of complex systems under diverse conditions in order to enhance decision-making, design processes, and innovation. At the core of our research lies the challenge and opportunity of accurately replicating and managing complex physical systems in multi-fidelity virtual environments.

Our work is driven by the necessity to bridge the gap between theoretical models and real-world applications in order to allow precise assessment and optimization of engineering solutions across various domains.Unsere Arbeit wird von der Notwendigkeit angetrieben, die Lücke zwischen theoretischen Modellen und Anwendungen in der realen Welt zu überbrücken, um eine präzise Bewertung und Optimierung von technischen Lösungen über verschiedene Domänen hinweg zu ermöglichen.

With the help of Digital Twins, we create accurate virtual replicas of physical systems, which enables advanced scenario testing and real-time optimization. These focused efforts drive innovation in key industrial domains and showcase the transformative power of virtual engineering.  

Focusing on the intricate challenges of virtual engineering in our domains, a pivotal aspect of our work involves navigating the complex integration of Digital Twins with existing embedded systems in the automotive and agriculture domains. This endeavor demands high attention to achieve seamless operation and real-time data synchronization across diverse technological landscapes. Simultaneously, we are deeply committed to leveraging these advanced virtual models in order to enhance sustainability. By optimizing resource use and minimizing environmental impact through precise scenario testing and system optimizations, our efforts not only drive innovation but also promote a more sustainable and responsible approach to industrial development.

We specialize in the areas of automotive, agriculture, and embedded systems, with a keen focus on advancing the corresponding Digital Twins. We partner with industry leaders to enhance embedded systems in terms of safety and efficiency, which is crucial for the next generation of systems.

Tackling these multifaceted challenges requires a multidisciplinary approach. Our strategy encompasses the development of sophisticated networking simulation algorithms that can accurately model phenomena across scales. 

Collaborative projects with industry and academic partners are essential, enabling us to stay at the forefront of technological advancements and ensure that our solutions meet the evolving needs of various sectors.

In our exploration of Digital Twins and the simulation of complex systems, we have encountered unique challenges and insights that have significantly shaped our research and development processes. A particularly intriguing aspect of our work is determining the appropriate level of fidelity in simulations. This remains an open research question, as the level of detail necessary to make valid predictions about a system's behavior can vary widely depending on the application. Finding that balance between detail and computational efficiency requires deep understanding and innovative thinking, underscoring the complexity of virtual engineering.

Companies often embark on Digital Twin initiatives without fully appreciating the intricate infrastructure needed to support such technologies. This gap highlights a critical area of our research: developing streamlined, efficient processes for integrating Digital Twins with existing systems and ensuring that they are not only effective but also accessible to our partners.

These experiences have not only advanced our understanding of the technical challenges in virtual engineering but also emphasized the importance of interdisciplinary collaboration. We are pioneering comprehensive solutions that address both the technical and practical challenges of implementing high-fidelity simulations and supporting architectures in real-world settings.