The lab offers a tangible approach to various SE & robotics problems.
M.Sc. Thomas Witte
My main research focus lies in improving the usablility and explainablility of robotic systems (ROS) using dynamic value tracking and dynamic architecture analysis. By annotating values from different sources with location information, we can create new user interfaces that allow the parametrization of our robots from higher abstraction levels, e.g. manipulating the source of a robot mission through its live visualization.
In our quadcopter lab, I supervise various student projects on changing topics. The lab offers a tangible approach to various software engineering concerns and robotics problems.
A Systematic Review on Security and Safety of Self-adaptive Systems
Journal of Systems and Software
Towards model co-evolution across self-adaptation steps for combined safety and security analysis
SEAMS '22: Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems
Impact of a bidirectional 3D code pre-view on task performance and learning outcome
Conference of Experimental Psychologists (TeaP 2021)
Inferred Interactive Controls Through Provenance Tracking of ROS Message Data
2021 IEEE/ACM 3rd International Workshop on Robotics Software Engineering (RoSE)
Supportive Elements for Coherence Formation Increase Code Comprehension
European Association for Research on Learning and Instruction (EARLI)
A Hybrid Editor for Fast Robot Mission Prototyping
Proc. of the 1st International Workshop on Explainable Software
Code Manipulation through Interactive Markers in a Live Preview
Debugging Quadrocopter Trajectories in Mixed Reality
AVR 2019: Augmented Reality, Virtual Reality, and Computer Graphics
Checking Consistency of Robot Software Architectures in ROS
2018 IEEE/ACM 1st International Workshop on Robotics Software Engineering (RoSE)