Christoph Killing, M.Sc.
Technical University of Munich
Assistant Professorship of Autonomous Aerial Systems (Prof. Ryll)
My main interests comprise combining navigation and planning with explainable machine learning methods for safe and high performance robotic applications in uncertain and dynamic environments.
A life goal of mine is to create machines that achieve human levels of competence in perceiving, thinking, and acting. In a more narrow technical perspective, I utilise reinforcement learning approaches to generate high-level behaviours.
If you are an enrolled TUM student and interested in working with me do not hesitate to reach out!
- C. Killing, A. Villaflor and J. M. Dolan, ”Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios,” 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 8090-8096
I received both, my Master’s and Bachelor’s degree, from the Technical University of Munich in Robotics, Cognition, Intelligence and Engineering Science, respectively. Before joining TUM, I was part of the ArgoAI Center for Autonomous Vehicle Research at Carnegie Mellon University, supervised by Prof. John M. Dolan.