- Note:
All projects are managed using Finroc in the C++ programming language .
Learning how to use Finroc or C++ is not part of the project and should be planned for in advance.
- Uncertainty Quantification
Description: An autonomous robot faces many types of uncertainties. For example, sensor malfunctions, situational assessment, and the unpredictable behavior of people in the robot’s vicinity. It is important to systematically identify these uncertainties in order to recognize the robot’s system limits and minimize them by adjusting its autonomy during runtime.
Prerequisites: At least 5 ETCS credits from the Embedded Systems and Robotics specialization, Software Engineering, Project Management, Algorithm Design and Analysis, Independent Work, C++ skills (optional), Finroc (optional)
Contact:Rebecca Keilhauer
- Robots Take Care
Our population is aging, and the need for care is increasing. As a result, alternative forms of care are becoming increasingly important. Care robots could help address the shortage of skilled workers. How can a robot assist with the various challenges of everyday care? What risks and uncertainties arise in this context, and how does interaction with care staff and patients influence behavior?
Prerequisites: At least 5 ECTS credits from the Embedded Systems and Robotics specialization, Software Engineering, Project Management, Algorithm Design and Analysis, Independent Work, C++ skills (optional), Finroc (optional)
Contact: Rebecca Keilhauer
- Adaptation of Cooperative Behavior
Description: In the future, there will be more and more robots. Therefore, it is important that they not only communicate but also actively cooperate with one another. A major advantage is the exchange of environmental information. Shared knowledge about the environment can help them make better decisions.
Prerequisites: At least 5 ETCS credits from the Embedded Systems and Robotics specialization, Software Engineering, Project Management, Algorithm Design and Analysis, Independent Work, C++ skills (optional), Finroc (optional)
Contact:Catharina Helten
- Human-Inspired Memory Systems
Description: Humans adapt their behavior based on predictions about the environment drawn from long-term memory. Most robots adapt their behavior based on predefined rules. They rarely draw on knowledge stored in long-term memory. The goal of the project is to equip a robot with short-term and long-term memory to better adapt its behavior.
Prerequisites: At least 5 ECTS from the specialization in Embedded Systems and Robotics, Software Engineering, Project Management, Algorithm Design and Analysis, Independent Work, C++ skills (optional), Finroc (optional)
Contact:Catharina Helten