Vladimir Pavelka

Slovak University of Technology in Bratislava

Papers

Total Citations

H-Index

About

Vladimir Pavelka is a robotics researcher whose work focuses on enabling autonomous mobile robots to perceive, map, and navigate unknown environments using cost-effective sensor systems. His key contributions lie at the intersection of visual simultaneous localization and mapping (SLAM), 3D spatial representation, and path planning. In his most-cited work, "Using Octree Maps and RGBD Cameras to Perform Mapping and A* Navigation" (2016, 8 citations), Pavelka demonstrated a practical, efficient pipeline that leverages only RGBD cameras—rather than expensive LiDAR—to build octree-based maps and execute A* path planning. This approach addresses a critical challenge in field robotics: achieving reliable autonomous exploration and navigation with minimal hardware. By integrating visual SLAM with octree mapping, his work provides a scalable solution for robots operating in unstructured, previously unseen environments. While his citation count reflects a focused, early-stage impact, Pavelka’s contributions are particularly valuable for researchers and engineers seeking low-cost, sensor-light autonomy. His work underscores a pragmatic design philosophy—prioritizing algorithmic efficiency and real-world deployability—that continues to inform modern approaches to mobile robot navigation and environmental mapping.