The research area of scientific automation provides solutions for the challenges that result from increasing complexity in mechatronic systems. We use model-based design methods for the control, automation and optimization of intelligent technical systems.
Technical systems of the future distinguish themselves through being intelligent, alterable, efficient and sustainable. The engineering of such systems demands a holistic approach and early involvement of various subsystems. This requires the application of multidisciplinary approaches and involves the integration of mechanics, hydraulics, electronics and control engineering. Our cross-sectoral topics are useful in a variety of industries:
- Mechanical and plant engineering
- Industrial automation
- Smart home.
Our broad thematic orientation is reflected in the wide range of skills of our employees and requires a high degree of flexibility and commitment to interdisciplinary cooperation.
We develop innovative and optimally customized systems with and for our customers in order to increase efficiency, quality, functionality and resource efficiency.