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About

Luca Santoro is a robotics researcher specializing in autonomous navigation, multi-robot systems, and TinyML for aerial platforms. His work focuses on enabling robust, infrastructure-free coordination for Unmanned Aerial Vehicles (UAVs) in GPS-denied and dynamic environments. Santoro’s major contributions include the development of self-deployable Ultra-Wideband (UWB) ranging systems for robotic exploration, allowing mobile robots to dynamically place and extend localization anchors without preexisting infrastructure—a concept demonstrated in his most-cited work (25 citations). He also pioneered a plug-and-play TinyML-based vision system for automatic drone landing, compatible with Pixhawk flight controllers, making autonomous landing accessible for compact UAVs. His research on infrastructure-less leader-follower systems (6 citations) and adaptive patrolling algorithms for heterogeneous robot teams addresses critical challenges in disaster rescue, logistics, and precision agriculture. With a growing citation record and publications spanning 2021–2023, Santoro’s work bridges practical deployment constraints and intelligent autonomy, advancing the state of the art in field robotics and edge-AI for aerial systems.