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Vladimír Kubelka

Vladimír Kubelka Position: Researcher, Marie Curie School/office: School of Science and Technology

Email: dmxhZGltaXIua3ViZWxrYTtvcnUuc2U=

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Room: T1225

Vladimír Kubelka

About Vladimír Kubelka

I have received my master's degree in Cybernetics and Robotics (Air and Space Systems) from the Czech Technical University in Prague (2013). After that, I focused on the problem of localization of ground mobile robots in harsh conditions of search and rescue missions supervised by Michal Reinstein and Tomáš Svoboda.

I have defended my Ph.D. thesis at CTU in 2018 and enrolled as a postdoc fellow with the Northern Robotics Laboratory (lead by François Pomerleau) at the Laval University in Québec. The research topic was outdoor mobile robot localization and mapping in winter conditions: deep snow, terrain changing due to blizzards, low visibility and deteriorated GPS. Our results have been nicely summed up by this field report and teaser video. To make things a little more exciting, we've also competed in the DARPA's Subterranean Challenge and scored some nice underground points as the CTU-CRAS-NORLAB team.

Since 2022, I've been a postdoc at the Örebro University with the Robot Navigation and Perception Lab lab looking at the problem of localization and mapping with the exciting new radar sensors. Since 2025, I am investigating the problem of detecting and classifying obstacle in forest environments with radars in the RaCOON project (EU Horizon MSCA).

Publications

Articles in journals |  Conference papers | 

Articles in journals

Conference papers

  • Kubelka, V. , Fritz, E. & Magnusson, M. (2024). Do we need scan-matching in radar odometry?. In:  2024 IEEE International Conference on Robotics and Automation (ICRA). Paper presented at 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan, May 13-17, 2024. (pp. 13710-13716). IEEE Robotics and Automation Society. [BibTeX]
  • Galeote-Luque, A. , Kubelka, V. , Magnusson, M. , Ruiz-Sarmiento, J. & Gonzalez-Jimenez, J. (2024). Doppler-only Single-scan 3D Vehicle Odometry. In:  2024 IEEE International Conference on Robotics and Automation (ICRA). Paper presented at 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan, May 13-17, 2024. (pp. 13703-13709). IEEE Robotics and Automation Society. [BibTeX]
  • Skog, M. , Kotlyar, O. , Kubelka, V. & Magnusson, M. (2024). Human Detection from 4D Radar Data in Low-Visibility Field Conditions. Paper presented at Radar in Robotics: Resilience from Signal to Navigation - Full-Day Workshop at 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan, May 13-17, 2024. [BibTeX]
  • Agishev, R. , Zimmermann, K. , Kubelka, V. , Pecka, M. & Svoboda, T. (2024). MonoForce: Self-supervised Learning of Physics-informed Model for Predicting Robot-terrain Interaction. In:  2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Paper presented at 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024), Abu Dhabi, United Arab Emirates, October 14-18, 2024. (pp. 12896-12903). IEEE Robotics and Automation Society. [BibTeX]
  • Hilger, M. , Kubelka, V. , Adolfsson, D. , Andreasson, H. & Lilienthal, A. (2024). Towards introspective loop closure in 4D radar SLAM. Paper presented at Radar in Robotics: Resilience from Signal to Navigation - Full-Day Workshop at 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan, May 13-17, 2024. [BibTeX]
  • Vaidis, M. , Dubois, W. , Guénette, A. , Laconte, J. , Kubelka, V. & Pomerleau, F. (2023). Extrinsic calibration for highly accurate trajectories reconstruction. In:  2023 IEEE International Conference on Robotics and Automation (ICRA). Paper presented at 2023 IEEE International Conference on Robotics and Automation (ICRA 2023), London, UK, May 29 - June 2, 2023. (pp. 4185-4192). IEEE. [BibTeX]