Marco Calliari

Papers

Total Citations

H-Index

About

Marco Calliari is a leading researcher in autonomous aerial robotics, with a primary focus on infrastructure-less navigation and multi-UAV coordination. His most impactful work, "Catch-Me-If-You-Can," introduces a novel Ultra-Wideband (UWB)-based leader-follower system that enables compact UAVs to operate without external positioning infrastructure—a critical breakthrough for dynamic environments like disaster rescue, logistics, and precision agriculture. This paper has garnered 6 citations since 2022, reflecting its growing influence in the field. Calliari’s contributions address the fundamental challenge of enabling micro-sized drones to maintain reliable relative positioning in GPS-denied or cluttered settings, advancing the practicality of autonomous swarms. His research bridges theoretical algorithms and real-world deployment, making him a key figure in the push toward resilient, scalable aerial systems. By tackling the "catch-me-if-you-can" problem, Calliari has opened new possibilities for UAVs in time-sensitive missions, from search-and-rescue to last-mile delivery. His work continues to inspire students and engineers seeking to push the boundaries of what compact drones can achieve without reliance on ground infrastructure.