Papers
10
Total Citations
207
H-Index
6
About
Dario Sanalitro is a robotics researcher whose work sits at the intersection of aerial robotics, cooperative manipulation, and multi-robot systems. He is best known for his pioneering contributions to the *Fly-Crane* — a statically rigid, cable-suspended aerial manipulator that uses the minimum number of UAVs to achieve full six-degree-of-freedom control of a suspended load. His most cited paper (87 citations), published in 2020, introduced an uncertainty-aware controller for this system, establishing a robust foundation for high-precision aerial manipulation tasks. Subsequent work expanded the Fly-Crane framework to include indirect force control, inertial estimation, energy-efficient operation, and real-world pick-and-place demonstrations, collectively accumulating over 160 citations. Sanalitro has also made meaningful contributions to understanding how parametric uncertainties and force-measurement biases affect cooperative aerial manipulation, providing critical insights for safe deployment in unstructured environments. Beyond aerial robotics, his research portfolio spans swarm force-based collaboration, UAV-assisted construction planning, insect-inspired learning on humanoid robots, and brain-computer interface classification. This breadth reflects a researcher equally comfortable with theoretical analysis and experimental validation, making his work valuable reading for students and practitioners in autonomous systems and human-robot interaction alike.
Research Focus
Key Achievements
Top Papers
- 1
- 2A study on force-based collaboration in swarms31 citations · 2019
- 3Precise Cable-Suspended Pick-and-Place with an Aerial Multi-robot System25 citations · 2022
- 4Indirect Force Control of a Cable-Suspended Aerial Multi-Robot Manipulator20 citations · 2022
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- 9Insect-Inspired Body Size Learning Model on a Humanoid Robot3 citations · 2018
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