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About

Carmelo Di Franco is a robotics and autonomous systems researcher whose work spans unmanned aerial vehicles (UAVs), human-robot interaction, and multi-robot localization. He is perhaps best known for his highly influential 2015 paper on energy-aware coverage path planning for UAVs, which has accumulated over 364 citations and remains a foundational reference for researchers deploying drones in agricultural sensing, photogrammetry, and large-scale area monitoring. By addressing the critical challenge of battery constraints in UAV mission planning, this work helped shape practical deployment strategies still widely used today. Beyond UAVs, Di Franco has contributed to the growing field of socially aware robotics, developing data-driven frameworks that enable mobile robots to anticipate human intentions and navigate shared spaces more naturally and safely. His research also extends to runtime monitoring and replanning for autonomous systems, ensuring robots can respond intelligently to disturbances and maintain safe trajectories under real-world uncertainties. Earlier in his career, Di Franco tackled the challenge of relative localization in multi-robot teams, fusing time-of-flight and received signal strength measurements to enable anchor-free positioning in GPS-denied environments. Across these diverse contributions, his work consistently bridges theoretical rigor with practical application, making him a valuable voice in modern autonomous systems research.