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About

Stefano Primatesta is a leading researcher in robotics and autonomous systems, with a focus on human-robot interaction, multi-robot coordination, and intelligent transportation. His work bridges the gap between robotic autonomy and real-world applications, from assistive technologies to precision agriculture. Primatesta’s most cited paper, “A cloud robotics system for telepresence enabling mobility impaired people to enjoy the whole museum experience” (27 citations), demonstrates his commitment to socially impactful robotics, creating a semi-autonomous platform that allows users to remotely explore inaccessible cultural sites. He has also made significant contributions to multi-UAV systems, as seen in his critical review of task allocation algorithms for intelligent transportation (18 citations), and to auction-based task allocation for heterogeneous multi-robot teams under human supervision (11 citations). His innovative game-theoretical approach to trajectory planning (8 citations) advances the social acceptability of robots in human-populated environments, while his bio-inspired path planner for precision agriculture (4 citations) showcases cross-domain versatility. With a growing body of work that integrates cloud robotics, dynamic navigation, and cable-driven mechanisms, Primatesta is shaping the future of autonomous systems that are both efficient and socially aware.