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About

Mattia Catellani is a rising researcher in the field of multi-robot systems, focusing on the critical challenges of coordination, communication, and control in decentralized robotic swarms. His work addresses fundamental limitations in real-world deployment, particularly when robots operate under restricted sensing and communication conditions. Catellani’s most cited paper (2023, 12 citations) introduces a probabilistic approach for distributed control of multi-robot systems with limited angular field-of-view in communication-denied scenarios, offering a robust solution for applications like search and rescue and environmental exploration. He further advances the field by developing control barrier functions to preserve directed graph topology in multi-robot systems with limited field of view (2024, 6 citations), a key contribution for maintaining formation and connectivity without inter-robot communication. Additionally, Catellani explores human-swarm interaction through a mixed reality interface (2024, 2 citations), bridging the gap between human operators and autonomous swarms. His work is notable for tackling practical constraints—limited sensing, communication blackouts, and topology preservation—that hinder the transition of multi-robot systems from theory to real-world deployment, making him a promising voice in distributed robotics.