Giulia Vaccaro

Papers

Total Citations

H-Index

About

Giulia Vaccaro is a researcher in marine robotics and autonomous systems, with a focus on enhancing maritime security through intelligent vehicle coordination. Her key research areas include path planning, multi-agent systems, and the application of heuristic algorithms to unmanned underwater and surface vehicles. Her most cited work, "Path planning for marine fleet using heuristic approach" (2013), addresses the critical challenge of coastal patrolling by designing coordinated routes for fleets of unmanned vehicles, reducing reliance on human operators. This contribution has earned 2 citations and demonstrates her early impact in the field. Vaccaro’s work is notable for its practical approach to border monitoring, integrating theoretical optimization with real-world operational needs. Her research supports the growing shift toward autonomous surveillance systems, offering scalable solutions for maritime domain awareness. For students and researchers, Vaccaro’s contributions highlight the potential of heuristic methods in solving complex, multi-vehicle coordination problems, making her a valuable figure in the advancement of autonomous marine technologies.