Roberto Pandolfi

Papers

Total Citations

H-Index

About

Roberto Pandolfi is a researcher whose work lies at the intersection of autonomous systems and marine robotics, with a particular emphasis on path planning and fleet coordination for unmanned underwater and surface vehicles. His most-cited paper, "Path planning for marine fleet using heuristic approach" (2013), addresses the critical challenge of coastal border monitoring by proposing a heuristic-based solution for coordinating heterogeneous unmanned vehicles. This work contributes to reducing human operator workload while enhancing the efficiency and reliability of maritime surveillance operations. Though his citation count is modest, Pandolfi’s research is notable for its practical focus on real-world applications, such as patrolling and environmental monitoring, where autonomous fleets can operate in complex, dynamic environments. His contributions are particularly relevant to the growing field of unmanned maritime systems, where efficient path planning is essential for mission success. Pandolfi’s work serves as a foundation for further exploration into heuristic optimization techniques, making him a valuable reference for students and researchers interested in the intersection of robotics, artificial intelligence, and marine engineering.