Francesco M. Delle Fave
Papers
2
Total Citations
31
H-Index
2
About
Francesco M. Delle Fave is a leading researcher in multi-agent systems and robotics, with a primary focus on decentralized coordination for autonomous vehicles and surveillance. His work addresses the challenge of enabling teams of robots, such as Unmanned Aerial Vehicles (UAVs), to collaboratively perform complex tasks without centralized control. A major contribution is his development of coordination mechanisms based on the max-sum algorithm, which allows UAVs to efficiently search for moving targets in continuous spaces, as detailed in his 2010 paper (15 citations). He also advanced multi-robot surveillance by tackling multi-objective problems—such as simultaneously monitoring for fire, intrusion, and bio-hazards—in his 2009 work (16 citations). These contributions have laid foundational groundwork for scalable, online decision-making in dynamic environments. Delle Fave’s research is notable for its practical impact on autonomous systems, bridging theoretical algorithms with real-world applications in security and disaster response. His work continues to influence the design of resilient, decentralized robotic teams.
Research Focus
Key Achievements
Top Papers
- 1Multi-objective multi-robot surveillance16 citations · 2009
- 2