A. Sgorbissa

Papers

Total Citations

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About

Antonio Sgorbissa is a leading figure in multi-robot systems and autonomous navigation, with a core focus on solving the "patrolling problem"—the challenge of coordinating robots to repeatedly and efficiently visit key locations. His seminal 2008 work, "PatrolGRAPH," introduced a groundbreaking distributed real-time search algorithm that enables teams of robots to patrol environments with exceptionally low computational and communication requirements. This algorithm, which has garnered 7 citations, represents a foundational contribution to the field, offering a scalable and robust solution for security, surveillance, and environmental monitoring. Beyond this, Sgorbissa’s research spans human-robot interaction, ambient intelligence, and service robotics, where he has developed innovative approaches to integrating autonomous systems into daily life. His work is characterized by a practical, algorithm-driven ethos, making complex multi-agent coordination accessible and deployable. For students and researchers, Sgorbissa exemplifies how elegant algorithmic design can solve real-world challenges, bridging theory and application in robotics.