Leonardo Garberoglio

Papers

Total Citations

H-Index

About

Leonardo Garberoglio is a researcher at the forefront of autonomous marine and aerial systems, specializing in the coordinated control of unmanned surface vehicles (USVs) and unmanned aerial vehicles (UAVs). His work addresses the growing need for cost-effective, flexible, and robust multi-vehicle architectures, replacing complex single-platform systems with collaborative swarms. His most cited paper, "Coordinated ASV-UAV control for marine collision-free navigation" (2019), has garnered 4 citations, laying foundational principles for safe, cooperative navigation in dynamic maritime environments. This research is pivotal for applications in ocean monitoring, search-and-rescue, and environmental surveying, where redundancy and adaptability are critical. Garberoglio’s contributions advance the state of the art in multi-agent systems, demonstrating how segmented sensor platforms can enhance mission reliability while reducing operational costs. His work is a key reference for students and engineers exploring autonomous fleet coordination, collision avoidance algorithms, and the integration of heterogeneous robotic systems.