Luca Scardovi

University of Genoa, University of Toronto

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About

Luca Scardovi is a leading researcher in multi-agent robotics and distributed coordination, with a focus on enabling teams of autonomous robots to collaboratively explore and map unknown environments. His seminal work, "Information-based multi-agent exploration" (2003, 27 citations), introduced a foundational framework where robots use discrete grid maps to mark cells as free or obstructed, optimizing exploration through information sharing. This contribution has shaped how robot teams efficiently navigate and perceive complex spaces, balancing coverage with communication constraints. Scardovi’s more recent "Distributed Coordination Theory for Robot Teams" (2022) extends these ideas into formalized control strategies for scalable, decentralized systems. His research bridges theoretical control theory and practical robotics, impacting fields from search-and-rescue to environmental monitoring. With a career marked by innovative approaches to multi-agent systems, Scardovi continues to influence how robots coordinate autonomously, making his work essential reading for students and researchers in robotics and distributed intelligence.