Attilio Priolo
Papers
9
Total Citations
137
H-Index
6
About
Attilio Priolo is a leading researcher in the field of multi-robot systems and autonomous marine vehicles, with a particular focus on swarm intelligence and decentralized control. His work centers on developing algorithms that enable groups of robots—especially unmanned surface vehicles (USVs)—to coordinate their movements through local interactions alone, without needing a central controller or global information. Priolo’s most influential contribution is his swarm-based path-following guidance system for cooperative USVs (33 citations), which allows a team of vessels to converge on and navigate along a desired path while maintaining formation. He has also made foundational advances in swarm aggregation, proposing algorithms that account for real-world constraints like actuator saturations and integrated obstacle avoidance (26 and 24 citations respectively). His research on distributed entrapment under uncertainty (14 citations) addresses how robots can surround a target even when its exact location is unknown. Priolo’s work bridges theoretical rigor and practical implementation, with experimental validations of low-cost localization systems for mobile robotic networks. His algorithms have been cited over 130 times, reflecting their impact on both the swarm robotics and marine autonomy communities.
Research Focus
Key Achievements
Top Papers
- 1Swarm-based path-following for cooperative unmanned surface vehicles33 citations · 2014
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- 5Distributed entrapment for multi-robot systems with uncertainties14 citations · 2013
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