Jakub Hlavica
Papers
4
Total Citations
12
H-Index
2
About
Jakub Hlavica is a robotics researcher whose work centers on mobile robot localization, simultaneous localization and mapping (SLAM), and the practical implementation of navigation algorithms on resource-constrained embedded systems. Operating within the context of autonomous indoor robotics, Hlavica has made meaningful contributions to the challenge of achieving accurate, computationally efficient robot positioning in environments where GPS and other external references are unavailable. His most recognized work examines the Iterative Closest Point (ICP) algorithm within embedded platforms, critically analyzing its computational demands to make real-time localization feasible on hardware with limited processing capacity — a paper that has garnered 7 citations. Complementing this, Hlavica developed cross-correlation-based scan matching approaches for SLAM, offering an alternative localization paradigm that reduces reliance on extensive sensor arrays. He also contributed a simulation framework for evaluating intelligent LiDAR-based scan matching algorithms indoors, supporting broader algorithm benchmarking efforts in the field. Affiliated with VSB-Technical University of Ostrava, Hlavica's research reflects a consistent focus on bridging theoretical navigation algorithms with real-world embedded deployment constraints, making his work particularly relevant for engineers and researchers developing practical autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3SLAM Algorithm Based on Cross-Correlation Scan Matching2 citations · 2016
- 4