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Faculty of Electrical Engineering and Information Technology
20th DortmunderAutoTag

Held on 04.09.2025 at the IHK in Dortmund

News from the Institute of Control Theory and Systems Engineering

03/10/2025

Great experience at IFToMM D-A-CH!

It was exciting to share our work on motion capturing and human-robot interaction and discuss ideas with experts in the field of robotics and…
Herr Renz steht am Rednerpult und präsentiert seine Folien
02/19/2025

Save the Date

The 20th DortmunderAutoTag will take place on 04.09.2025 at the IHK in Dortmund
Logo und Termin (04.09.2025) für den 20.DAT
12/19/2024

Doctorate from Alexander Hugenroth

We congratulate Mr. Alexander Hugenroth on successfully completing his doctorate "Driver monitoring with a focus on vigilance - driver state…
Collage: Herr Hugenroth mit Doktorhut und Herr Hugenroth mit Prüfern
12/10/2024

Young Author Award for Patrik Palmer

Patrick Palmer received the Young Author Award at the Computational Intelligence Workshop from 21-22.11.2024 in Berlin for his contribution…
Bild von vier stehenden Personen
11/29/2024

First measurements in the new experimental system

The new bus emulator, which weighs around one tonne, is now available for measurements in the RST laboratory
Modell eines Busses aus Metallprofilen sowie Kunstoff - und Plexiglasplatten
10/31/2024

Promotion of Maximilian Krämer

We congratulate Mr. Maximilian Krämer on his successfully completed doctorate with the topic: Trajectory Optimization for Robotic Arms in Dynamic…
Callage: Herr Krämer mit den Prüfern und Doktorhut
07/08/2024

1st RST Hackathon: Parcel delivery with the help of mobile robots - on land and from the air

The Chair of RST (Control Systems Technology) will hold its first hackathon on October 26 and 27, 2024 under the title "Parcel delivery using mobile…
RST Schriftzug
05/28/2024

Best Presentation Award at the ICCRE 2024 in Osaka

At the 9th International Conference on Control and Robotics Engineering (ICCRE 2024) in Osaka, Japan, the RST presented a paper on "Feedback Control…
Urkunde und Impressionen aus der Stadt
© RST​/​TU-Dortmund

The Institute of Control Theory and Systems Engineering at TU Dortmund University conducts research on automated, networked and sustainable mobility and service robotics in both basic and application-oriented topics.

The innovative research process begins with the idea, continues with scientific analysis and synthesis and ends in the engineering context with feasibility and/or a prototype. The scientists contribute their ideas, competences and experience to public and bilateral research and development projects.

In the topics of future mobility, our research focuses on scene description, situation prediction including trajectory prediction and manoeuvre planning decision making when it comes to the movement behaviour of the EGO vehicle and other road users.

In situational prediction and manoeuvre planning, the behaviour and the physical and mental state of the driver, passenger and passer-by are also researched and taken into account in the overall planning for automated driving.

In service robotics, the cooperation between humans and robots is the focus of our research. We develop concepts and methods for model-predictive real-time trajectory planning and control in a shared workspace. In lightweight robotics, we design models and controls for limb-elastic robot arms.

The research work is oriented towards concrete questions, which are evaluated concomitantly in x-in-the-loop simulation and finally in prototype testing, in order to also answer questions that go beyond scientific verification and validation from the perspective of application and technical realisation.

In the field of automated driving, methods from the areas of machine and deep learning as well as artificial intelligence are increasingly gaining acceptance - in all areas of development, from perception to trajectory planning and control. In addition to the development of the latest algorithms in this area, we also have the necessary hardware and the latest technical requirements to be able to quickly apply the aforementioned methods to new problems with maximum efficiency.

Another focus is on the development and application of forward-looking methods for the systematic derivation and development of solutions that meet requirements, without losing sight of the overall system.