Tomas Krajnik

I am working in the mobile robotics domain with a particular focus on long-term mobile robot navigation in changing environments. During my earlier work, I developed a robust visual navigation algorithm that allows autonomous operation of aerial and ground robots in outdoor environments that exhibit seasonal appearance variations. Later, I proposed to model the uncertainty of environment states by their frequency spectra, which improves long-term mobile robot autonomy in changing environments, see the FreMEn method.

As part of my work, I also implemented software libraries for fast visual tracking and UAV control, which were used by the roboticists of the NASA, EPFL, KIT, AIT etc, and contributed to our success during the Mohammed bin Zayeed Robotics Challenge and DARPA Subterranean Tunnel Circuit. I cooperated with several research institutes all across the globe and I was invited to present my work at world-leading laboratories including CSAIL@MIT, GRASP@UPENN, Oxford or ETH.

My research interests include long-term autonomy, robot vision and aerial robotics.