Salvatore Marcellini

University of Naples Federico II, Innovation Engineering (Italy)

Papers

6

Total Citations

29

H-Index

3

About

Salvatore Marcellini is an emerging researcher specializing in aerial robotics, unmanned aerial vehicles (UAVs), and autonomous systems, with a particular focus on fully actuated multicopters and their real-world applications. His most influential work centers on the design, modeling, and control of tilting multicopters — advanced aerial platforms capable of decoupling position and attitude control — culminating in a widely adopted PX4-integrated framework that has garnered 11 citations since its 2023 publication. Marcellini has made significant contributions to robust flight control, including experimental validation of sensitivity-aware trajectory planning under parametric uncertainty, demonstrating a rigorous commitment to bridging theoretical advances with practical implementation. A recurring theme across his research portfolio is the application of aerial robots to non-destructive testing (NDT) and structural inspection, where he has developed semi-autonomous unmanned aerial manipulators (UAMs) capable of safely interacting with concrete infrastructure — work of growing relevance to industrial maintenance and civil engineering. His 2025 contributions further extend into haptic teleoperation and omnidirectional aerial physical interaction, reflecting a broadening research vision. With nearly 30 cumulative citations across six papers, Marcellini is establishing himself as a promising voice in the next generation of aerial robotics researchers.

Research Focus

Key Achievements

3
H-Index
6
Papers
29
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A PX4 Integrated Framework for Modeling and Controlling Multicopters with Til table Rotors
11 citations · 2023
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Naples Federico II, Innovation Engineering (Italy)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago