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The production of the future must be intelligent, flexible, adaptable, and, at the same time, cost-efficient and sustainable. The Industry 4.0 concept addresses these technological requirements through the comprehensive digitalization, networking, and automation of industrial production along the entire value chain.

Speed up routine work, simplify decisions, and use resources more sparingly - these are just some advantages of tomorrow's smart fab. This is made possible by the intelligent networking of autonomous, self-controlling, knowledge-based, sensor-supported, and spatially distributed production resources, workpieces, and business processes. And this networking goes far beyond the company's machinery. In the future, it will no longer be enough to simply control and optimize the company's production processes - customers and suppliers will also be directly integrated into value-creation processes. 

Research focus and solutions

The institutes cooperating in the FMD research and develop technological solutions for components and systems for the realization of intelligent, flexible, energy-efficient, and networked production for the sectors:

  • Digital twins
  • Smart digital production
  • AI and machine learning
  • Sensor systems for process and condition monitoring
  • Non-destructive material testing

The aim is to provide pioneering impetuses for future production technology and to transfer this quickly to industry through a wide range of knowledge and technology transfer.

Fields of application


Sensor systems for process and condition monitoring

Sensor-supported monitoring of production resources to avoid unplanned downtimes.


Digital twins

Digital twins not only improve development and production processes but also help increase performance in the actual operation of systems.


AI and machine learning

Edge AI, AI-supported process optimization, predictive maintenance and quality assurance, human-robot collaboration and interaction.


Non-destructive material testing

New sensor concepts, robot-assisted measurements, cloud-based methods of data acquisition and data analysis using AI methods.

Project examples


Robust wireless transmission


Robust wireless systems are used to transmit sensor data and control information in network structures.


Universal sensor platform for Industrial IoT


The sensor platform lays the foundation for smaller system providers to shoulder the development and production costs for highly integrated systems in the Internet of Things environment.


High-frequency terahertz radiation


Industrial-grade terahertz communication and sensor technology, inline monitoring of production processes, use of terahertz communication in industrial production.


Micromechanical ultrasonic transducers


Micromechanical ultrasonic transducers (MUT) represent an innovative and effective further development of classic ultrasonic sensors.


Analog neuromorphic accelerators


Analog neuromorphic accelerators that enable efficient and safe smart sensors.