Jozef Rodina
Papers
6
Total Citations
106
H-Index
4
About
Jozef Rodina is a robotics researcher whose work centers on human-robot interaction, autonomous navigation, and localization—particularly for unmanned aerial vehicles (UAVs) and novel ground robots. His most influential contribution, "Foundations of Visual Linear Human–Robot Interaction via Pointing Gesture Navigation" (54 citations), establishes intuitive, vision-based methods for commanding robots through natural human gestures, a key step toward accessible human-robot collaboration. Rodina has also made significant advances in indoor UAV localization, where GPS is unavailable; his 2024 paper on multi-sensor fusion using particle filters (10 citations) and his 2020 work on fiducial markers for drone localization (24 citations) demonstrate robust solutions for real-world autonomy. Beyond aerial systems, he introduced the "ambiguous mono axial vehicle robot"—a hybrid of Segway and dicycle designs—offering improved energy efficiency and payload safety. His earlier research on GNSS localization enhancement using the DOP parameter and Kalman filtering (2014) laid groundwork for satellite-based positioning improvements. With over 100 total citations, Rodina’s work bridges fundamental localization theory with practical, human-centered robotics, making autonomous systems more reliable and intuitive in both indoor and outdoor environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Using fiducial markers to improve localization of a drone24 citations · 2020
- 3Generalized dynamic model and control of ambiguous mono axial vehicle robot12 citations · 2016
- 4
- 5Improved GNSS Localization with the Use of DOP Parameter4 citations · 2014
- 6