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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
Research subject Research environments

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 have 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.

Research groups

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]