Roberto Rossi
Papers
7
Total Citations
198
H-Index
6
About
Roberto Rossi is a leading researcher in the fields of aerial manipulation and collaborative robotics, with a focus on safety and real-time control. His most impactful work introduces a nonlinear model predictive controller for unmanned aerial manipulators—the first to run online and onboard—enabling precise 3D end-effector trajectory tracking (52 citations). Rossi has also made seminal contributions to human-robot interaction safety, developing a pre-collision control strategy based on a novel injury index that models dissipated energy during potential inelastic impacts (37 citations). His trajectory generation approach using quadratic programming for aerial manipulators (37 citations) and his work on optimal avoidance strategies for collaborative robots (49 citations) further underscore his influence. With over 200 total citations, Rossi’s research bridges theoretical control frameworks and practical robotic applications, advancing both aerial manipulation and safe human-robot collaboration. His achievements include pioneering real-time onboard control for aerial manipulators and formalizing safety indices that guide pre-collision strategies, making his work essential reading for researchers in robotics and control systems.
Research Focus
Key Achievements
Top Papers
- 1Nonlinear model predictive control for aerial manipulation52 citations · 2017
- 2Towards an optimal avoidance strategy for collaborative robots49 citations · 2019
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- 7A Formal Control Architecture for Collaborative Robotics Applications4 citations · 2020