Francesca Lancia
Papers
1
Total Citations
2
H-Index
1
About
Francesca Lancia is a researcher whose work lies at the intersection of operations research, maritime robotics, and autonomous systems. Her primary research focuses on developing efficient path planning and coordination strategies for unmanned marine fleets, particularly for applications in coastal surveillance and border monitoring. Her most cited work, "Path planning for marine fleet using heuristic approach" (2013), addresses the critical challenge of deploying unmanned underwater and surface vehicles to reduce the burden on human operators in patrolling missions. By proposing heuristic-based solutions for multi-vehicle routing and task allocation, Lancia has contributed to advancing the autonomy and operational efficiency of marine robotic systems. Though her citation count remains modest, her research is foundational for the growing field of unmanned maritime systems, where her insights into fleet coordination and heuristic optimization continue to inform subsequent studies. Lancia’s work is particularly relevant for students and researchers interested in the practical integration of artificial intelligence and robotics for environmental monitoring and security applications.
Research Focus
Key Achievements
Top Papers
- 1Path planning for marine fleet using heuristic approach2 citations · 2013