About

Paolo Frasca is a prominent researcher whose work sits at the intersection of multi-agent systems, robotics, and distributed control theory. He is best known for his foundational contributions to coverage control and partitioning algorithms for robotic networks, areas in which he has developed sophisticated distributed methods that enable teams of mobile robots to autonomously deploy across complex, nonconvex environments. His highly influential gossip-based algorithms — which rely on short-range, unreliable pairwise communication rather than costly global information exchange — have attracted nearly 200 citations across his two landmark papers from 2011 and 2012, establishing him as a leading voice in scalable, communication-constrained multi-robot coordination. Frasca has extended these foundational ideas in several important directions, including area-constrained centroidal partitioning, asynchronous communication with base stations, and applications to challenging real-world settings such as underwater ocean gliders and hilly terrain. His 2021 work on continuation methods bridging ODE and PDE frameworks demonstrates his broader theoretical ambitions, tackling large-scale modeling challenges with mathematical elegance. Across his career, Frasca has consistently balanced rigorous dynamical systems theory with practical robotics applications, making his research highly relevant to engineers and theorists alike working on autonomous systems, environmental monitoring, and networked control.

Research Focus

Key Achievements

7
H-Index
12
Papers
298
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Discrete Partitioning and Coverage Control for Gossiping Robots
98 citations · 2011
📈 Most Prolific Year: 2009 (4 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Politecnico di Torino, Grenoble Images Parole Signal Automatique, University of Twente, University of Salerno, Consorzio Roma Ricerche, Centre National de la Recherche Scientifique

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago