Davide Canepa

Institut national de recherche en sciences et technologies du numérique, Sorbonne Université

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About

Davide Canepa is a researcher whose work lies at the intersection of distributed robotics, swarm intelligence, and self-stabilizing systems. His primary research areas include multi-robot coordination, population protocols, and fault-tolerant distributed algorithms. Canepa’s most influential contribution is his pioneering work on stabilizing flocking via leader election in robot networks, a paper that has garnered 50 citations and laid foundational principles for coordinating large groups of oblivious robots without centralized control. He further advanced this field with his study on flocking with oblivious robots (9 citations), exploring how minimalistic agents can achieve complex collective behaviors. Notably, Canepa’s work on self-stabilizing tiny interaction protocols (8 citations) extends population protocol models by introducing mobile agents, demonstrating how weak, memory-limited nodes can self-stabilize to implement token-based algorithms. This research is particularly significant for its potential applications in sensor networks and micro-robotics, where devices must operate reliably despite failures. Canepa’s contributions have helped shape the understanding of how simple, local interactions can produce robust global behaviors in distributed systems, making his work essential reading for researchers interested in swarm robotics and fault-tolerant computing.