Kostantinos Gerakos

Papers

Total Citations

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About

Kostantinos Gerakos is a researcher focused on the intersection of autonomous systems, information flow optimization, and unmanned vehicle operations. His most notable contribution, the 2021 paper "MOTIVE - Time-Optimized Contextual Information Flow On Unmanned Vehicles," introduces a framework for enhancing real-time data transmission and decision-making in unmanned aerial and ground vehicles. This work addresses critical challenges in dynamic environments, such as disaster relief, search and rescue, and environmental monitoring, where timely and context-aware information is essential. With 7 citations, this paper has already drawn attention from peers working on autonomous navigation and communication systems. Gerakos’s research is particularly significant for its practical applications in civilian and scientific domains, including geophysical surveys and commercial air surveillance. By optimizing how unmanned vehicles process and relay contextual data, he contributes to safer, more efficient operations in high-stakes scenarios. His work stands out for bridging theoretical optimization with real-world deployment, making him a promising voice in the growing field of autonomous systems and situational awareness.