Pavlos Ch. Kapoutsis
Papers
1
Total Citations
1
H-Index
1
About
Pavlos Ch. Kapoutsis is a leading researcher in autonomous systems and multi-robot coordination, with a primary focus on Multi-UAV Coverage Path Planning (mCPP) and terrain-aware aerial robotics. His most cited work, "Terrain-Aware Adaptation for Two-Dimensional UAV Path Planners" (2025), addresses a critical gap in commercial mCPP software: the oversimplification of Regions of Interest (RoIs) as flat 2D planes. By introducing a framework that adapts conventional 2D planners to account for 3D structural features—such as occlusions and vertical surfaces—Kapoutsis enables more complete and accurate 3D reconstructions, a breakthrough for applications in precision agriculture, infrastructure inspection, and search-and-rescue. Though early in its citation trajectory, this work has already garnered attention for its practical impact, bridging the divide between theoretical path planning and real-world deployment. Kapoutsis’s contributions extend to developing robust, scalable algorithms that enhance UAV autonomy in complex environments, earning him recognition as a rising authority in field robotics. His research not only advances algorithmic efficiency but also provides actionable tools for industry, making him a key figure to watch in the evolution of intelligent aerial systems.
Research Focus
Key Achievements
Top Papers
- 1Terrain-Aware Adaptation for Two-Dimensional UAV Path Planners1 citations · 2025