Lorenzo Palazzetti
Papers
1
Total Citations
6
H-Index
1
About
Lorenzo Palazzetti is a researcher whose work centers on the intersection of drone technology, optimization algorithms, and energy-efficient systems. His primary contributions lie in developing both optimal and heuristic algorithms for data collection using energy- and storage-constrained drones, a critical challenge in autonomous aerial systems. His most-cited paper, "Optimal and Heuristic Algorithms for Data Collection by Using an Energy- and Storage-Constrained Drone" (2022), has garnered 6 citations, reflecting its relevance in the growing field of unmanned aerial vehicle (UAV) logistics and environmental monitoring. This work addresses the practical constraints of real-world drone operations, offering solutions that balance computational efficiency with resource limitations. Palazzetti’s research has implications for disaster response, precision agriculture, and infrastructure inspection, where drones must optimize data gathering under tight energy and storage budgets. His contributions are notable for bridging theoretical algorithm design with applied robotics, providing a foundation for future advancements in autonomous data collection. As the demand for intelligent, resource-aware drone systems increases, Palazzetti’s work continues to influence both academic research and practical implementations in the field.
Research Focus
Key Achievements
Top Papers
- 1