Nikolaos Kariotoglou
Papers
2
Total Citations
30
H-Index
2
About
Nikolaos Kariotoglou’s research centers on stochastic reachability theory and its application to autonomous multi-agent surveillance systems. His major contributions lie in developing rigorous mathematical frameworks that enable pan-tilt-zoom (PTZ) and pan-tilt (PT) camera networks to perform complex tasks such as target acquisition, tracking, and acquisition-while-tracking under uncertainty. By modeling cameras as pursuers and targets as evaders using random set theory, he formulated these surveillance problems as reach-avoid dynamic programs, providing provable guarantees for system performance. His most-cited work, “A stochastic reachability framework for autonomous surveillance with pan-tilt-zoom cameras” (2011, 17 citations), introduced this foundational approach, while his subsequent paper on multi-agent hierarchical task allocation (2014, 13 citations) extended the framework to coordinated teams of cameras. These works have influenced the fields of autonomous surveillance, stochastic control, and robotics, offering a principled alternative to heuristic methods. Kariotoglou’s research is particularly notable for bridging theoretical stochastic reachability with practical, real-time camera control, demonstrating how formal methods can enhance reliability in safety-critical autonomous systems.
Research Focus
Key Achievements
Top Papers
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