Tomas Krajnik is affiliated with the Czech Technical University in Prague in the Czech Republic. Their research spans the fields of Engineering and Computer Science, with significant contributions to subfields such as Computer Vision and Pattern Recognition, Aerospace Engineering, Mechanical Engineering, Artificial Intelligence, and Electrical and Electronic Engineering.
The scientist's work broadly covers topics including Robotics and Sensor-Based Localization, Modular Robots and Swarm Intelligence, Robotic Path Planning Algorithms, Advanced Image and Video Retrieval Techniques, Advanced Vision and Imaging, Autonomous Vehicle Technology and Safety, as well as Distributed Control Multi-Agent Systems.
Among recent publications, key papers include:
Tomas Krajnik frequently collaborates with several co-authors, among them are Tomáš Rouček, Farshad Arvin, George Broughton, J. Blaha, and Zdeněk Rozsypálek.
Publications appear regularly in a variety of venues, primarily including:
Tomáš Krajník;Vojtěch Vonásek;Daniel Fišer;Jan Faigl
Tomáš Krajník;Matías Nitsche;Jan Faigl;Petr Vanĕk
Martin Saska;Tomas Baca;Justin Thomas;Jan Chudoba
Nick Hawes;Christopher Burbridge;Ferdian Jovan;Lars Kunze
Lars Kunze;Nick Hawes;Tom Duckett;Marc Hanheide
Tomas Krajnik;Jaime P. Fentanes;Joao M. Santos;Tom Duckett
Jan Faigl;Tomas Krajnik;Jan Chudoba;Libor Preucil
Martin Saska;Vojtĕch Vonásek;Tomáš Krajník;Libor Přeučil
Jan Svab;Tomas Krajnik;Jan Faigl;Libor Preucil
Vojtěch Spurný;Tomáš Báča;Martin Saska;Robert Pěnička
Matej Petrlik;Tomas Baca;Daniel Hert;Matous Vrba
Tomáš Rouček;Martin Pecka;Petr Čížek;Tomáš Petříček
Giuseppe Loianno;Vojtech Spurny;Justin Thomas;Tomas Baca
Zhi Yan;Li Sun;Tomas Krajnik;Yassine Ruichek
Tomáš Krajník;Jan Faigl;Vojtěch Vonásek;Karel Košnar
Tomas Krajnik;Jaime Pulido Fentanes;Grzegorz Cielniak;Christian Dondrup
Martin Saska;Tomas Krajnik;Libor Pfeucil
Martin Saska;Vojtech Vonasek;Tomas Krajnik;Libor Preucil
M. Kulich;J. Chudoba;K. Kosnar;T. Krajnik
Martin Saska;Tomáš Krajník;Vojtĕch Vonásek;Zdenĕk Kasl
Tomas Krajnik;Matias Nitsche;Sol Pedre;Libor Preucil
Keerthy Kusumam;Tomáš Krajník;Simon Pearson;Tom Duckett
Tomáš Krajník;Jan Faigl;Vojtěch Vonásek;Karel Košnar
Nick Hawes;Chris Burbridge;Ferdian Jovan;Lars Kunze
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA opens up a diverse range of related online degree options and career pathways. Many students consider further study or specialization after a Computer Science degree. Popular choices include engineering, data science, and physics, all of which promote strong analytical and problem-solving skills.
For those interested in environmental applications, an online environmental engineering degree provides knowledge in sustainability, renewable resources, and environmental technology. Mechanical engineering is another in-demand field. Prospective students should consider factors like accreditation, flexibility, and mechanical engineering degree cost when selecting a program.
If you are drawn to the foundations of computation and scientific modeling, pursuing an online theoretical physics degree could be an ideal pathway. Additionally, the tech industry is rapidly seeking data experts. Accredited data science programs offer training in big data, machine learning, and analytics—career skills highly valued across many sectors.
Online degree options offer flexibility, affordability, and access to emerging tech careers. Exploring these related disciplines can help you align your education with your long-term goals in the dynamic world of technology.
University of Liège
Hewlett-Packard (United States)
Cardiff University
Bionics Institute
National Technical University of Athens
Max Planck Society
University of Sussex
University of Oslo
Brown University
Indiana University
Google (United States)
University of Zurich
Stanford University
Hokkaido University
University of Barcelona
University of Notre Dame