Summary
Tomáš Krajník is an associate professor and robotics researcher with 12+ years of experience specializing in long-term mobile robot navigation and mapping in changing outdoor environments. He developed robust visual navigation algorithms for aerial and ground robots and created the Frequency Map Enhancement (FreMEn) framework to model environment-state uncertainty via frequency spectra, improving long-term autonomy. His open-source tools for visual tracking and UAV control (including the grief repository) have been adopted by teams at NASA, EPFL, KIT and others, and his work is funded primarily by the EU. He has collaborated with over 20 international research institutes and been invited to present at leading labs such as CSAIL@MIT and ASL@ETH. Trained as a cyberneticist with a PhD from Czech Technical University, he blends theoretical contributions with practical, field-proven software used in real-world deployments. An interesting facet of his work is framing temporal environmental variation in the spectral domain, turning seasonality and recurrence into predictable signals for autonomous systems.
12 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Biocybernetics and Artificial Intelligence, A, Doctor of Philosophy (PhD), Biocybernetics and Artificial Intelligence, A at Czech Technical University in Prague
English