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Faculty of Electrical Engineering and Information Technology
18th DortmunderAutoTag

The 18th DortmunderAutoTag will take place on 07 September 2023.

News from the Institute of Control Theory and Systems Engineering


Heiko Renz awarded the Hans Uhde Prize

Heiko Renz, research assistant at the Chair of Control Systems Engineering, has been awarded the Hans-Uhde Prize 2023 as one of four graduates of the…

Preisträger mit Urkunden

Successfully completed doctorate

We congratulate Mr. Andreas Homann on his successfully completed Ph. "Trajectory following control for automated vehicles - Investigations for a…


Filming in the laboratory area of the IRF

A team of the rehabilitation sciences of the TU Dortmund and the design department of the FH Dortmund made a film in our lab with director Florian…

Filmcrew bei der arbeiten an den Cobots

Paper on 3D Radar object detection got accepted by the CVPR 2023

We are glad our paper on 3D Radar object detection got accepted by the CVPR 2023 Workshop on 3D Vision & Robotics.
First results look promising, but…


Differentiable Constrained Imitation Learning for Robot Motion Planning and Control

In the age of large language models, imposing constraints on learning-based approaches becomes even more critical. Therefore, we developed a method to…

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Members of the Inner Wheel Club Moers visit the IRF

On Wednesday, members of the Inner Wheel Club Moers and guests visited the Institute for Robot Research. During the guided tour, the different…

Collage über Hardware im Labor und Gruppenbild des Clubs

Matrix Scheinwerfer-Simulator

The RST matrix headlight simulator, developed in collaboration with FORVIA\HELLA and 3DMappingSolutions, includes a virtual high-definition  model of…

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Youth-Author Award for Researchers of the RST

Our researchers were awarded a Youth-Author Award 2022 by the VDI expert committee Computational Intelligence for their contribution "Conditional…

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© 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.