Marc Cavazza

University of Greenwich, Teesside University

Papers

Total Citations

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About

Marc Cavazza is a versatile researcher whose work spans unmanned aerial vehicle (UAV) traffic management, multi-agent systems, and virtual reality. His most impactful contributions lie in the domain of autonomous aerial systems, where he has tackled the complex challenge of safely coordinating UAV fleets operated by multiple independent service providers in shared low-altitude airspace. His 2019 paper on multi-agent path finding for UAV traffic management, which has garnered 28 citations, represents a significant advance in pre-flight conflict detection and resolution — a critical safety requirement for the emerging UAV services industry. This work was further extended through a dedicated robotics track publication and earlier simulation-based research from 2018, demonstrating a sustained research trajectory in this domain. Beyond aerial systems, Cavazza has also explored the intersection of cognitive science and immersive technology, investigating how causal perception shapes user experience and presence within virtual reality environments. This interdisciplinary breadth — bridging autonomous systems and human-computer interaction — reflects a research profile that addresses both technical precision and human-centered design. His contributions offer valuable insights for students interested in robotics, airspace automation, and immersive technologies.