The research groups of the IRS

Networked Multi-Energy Systems

The research activities of our international team pursue one goal: energy supply based on renewable energies. We develop physics-, data- and learning-based methods to operate electricity, gas, heating, water, and hydrogen networks efficiently and safely with a high share of decentralized energy resources. Our methods are modular and scalable, making the very high complexity of these systems manageable.

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Cooperative Systems

The research group Cooperative Systems develops a framework for modeling and control of interactions between humans and machines. The individual strengths of human and machine are combined to achieve high performance systems, ready to meet future challenges of automatization. The fields of applications are e.g. Advanced Driver Assistance Systems, Robotics, Medical Technologies and Aerospace Engineering.

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Functional Safety Control

When designing automation for safety-critical technical systems, a large number of tests must be carried out according to ISO 262622 or IEC 61508 in order to show the safe behavior of the controls and algorithms developed against uncertainties occurring in the real world. With the increase in highly automated functions, typical product and system engineering are increasingly reaching their limits. The aim of the Functional Safety Control research group is therefore to establish methods very early in the automation design process that take into account the physical behavior of the technical system and its uncertainties in order to make safe or even guaranteed statements about the overall system behavior. This makes it possible to reduce the validation effort in the design process.

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Laser Technology & Optronics

The focus of the research area laser technology and optronics is in basic and applied research in the areas of lasers and photonic components in the near and mid-infrared and associated laser metrology.

The research challenges are complex and address, for example, the increase of power and performance, the efficient generation of new wavelengths or the implementation of new laser concepts and architectures to achieve specific operating data under special boundary conditions (size, weight, reduced cooling options, intermittent operation, etc.).

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Cyber-Physical Robotics

Cyber-physical systems are the active and bidirectional linking of real systems with their digital twin. In the Cyber Physical Robotics (CPRob) research group, we exploit this coupling as an advantage for the automation industry. To this end, we are researching topics such as virtual collaboration and generalized virtualization of robots. To this end, we develop systems based on information models of robotics and design extended information models in order to be able to depict new types of robots, such as soft robots.

Cyber Resilience and System Security

In our increasingly interconnected world, security is no longer just an advantageous addition to a system, but a basic requirement. This applies in particular to the automation industry, where everyday products are no longer manufactured by isolated machines, but by increasingly efficient device compositions. The Cyber Resilience and System Security (CRASS) research group focuses on researching and designing security mechanisms such as updates and certificates. In doing so, we consider standardization in the context of current developments such as IT/OT convergence and emerging regulatory requirements such as the EU Cyber Resilience Act.

Information-Driven Engineering of Automation Systems

The Information-Driven Engineering of Automation Systems (IDEAS) research group focuses on automated and assisted engineering processes and the necessary development as well as the use of standardized information models in the context of Industry 4.0.The creation of standardized interfaces and interoperable digital twins as a central element for the virtual representation of technical systems is our main focus. We also research automated decision-making in the engineering process and work on standardizing and improving the exchange of information in the development, operation and maintenance of technical systems. With the help of knowledge representation technologies, we are building a bridge to the implementation of assistance systems in all phases of the product life cycle.