Massimiliano Maurizio De Benedetti
Papers
1
Total Citations
16
H-Index
1
About
Massimiliano Maurizio De Benedetti is a leading researcher in the field of automated energy infrastructure inspection, with a primary focus on integrating unmanned aerial and ground vehicles (UAVs/UGVs) into photovoltaic (PV) power plant monitoring. His most-cited work, "Automated Photovoltaic Power Plant Inspection via Unmanned Vehicles" (2023, 16 citations), introduces a fully automated inspection process that optimizes the assignment of target inspection points across a heterogeneous fleet of drones and ground robots. This contribution directly addresses the critical challenge of scaling PV plant maintenance, reducing human labor while increasing inspection speed and accuracy. By formulating the assignment problem to minimize operational costs, De Benedetti’s research provides a practical framework for deploying autonomous systems in renewable energy settings. His work is notable for bridging the gap between robotics, optimization, and clean energy, offering a scalable solution that enhances the reliability of solar power generation. As the renewable energy sector expands, De Benedetti’s contributions are poised to become foundational for next-generation, autonomous infrastructure management.
Research Focus
Key Achievements
Top Papers
- 1Automated Photovoltaic Power Plant Inspection via Unmanned Vehicles16 citations · 2023