Papers
31
Total Citations
719
H-Index
14
About
Paolo Stegagno is a robotics researcher whose work sits at the dynamic intersection of multi-robot systems, unmanned aerial vehicles (UAVs), and autonomous navigation. His research has made significant contributions to some of the most challenging problems in modern robotics, particularly decentralized coordination and localization in multi-robot teams. Among his most influential contributions is his framework for decentralized multi-robot encirclement of 3D targets with guaranteed collision avoidance (115 citations), a landmark achievement in cooperative robotics. Equally notable is his pioneering work on anonymous mutual localization — enabling robots to determine each other's positions without knowing individual identities — a problem he has tackled across 2D, 3D, and heterogeneous ground-aerial settings, accumulating substantial citations across multiple publications since 2009. Stegagno has also advanced aerial robotics through his work on cooperative quadrotor payload transportation using cable-driven mechanisms (80 citations), UAV obstacle detection and avoidance for teleoperation (66 citations), and innovative physical human-UAV interaction paradigms (45 citations). His research consistently bridges theoretical rigor with practical implementation. With over 500 cumulative citations across his most recognized works, Stegagno has established himself as a respected voice in autonomous systems and aerial robotics research.
Research Focus
Key Achievements
Top Papers
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- 3Obstacle detection, tracking and avoidance for a teleoperated UAV66 citations · 2016
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- 5Distributed Target Localization and Encirclement with a Multi-Robot System47 citations · 2010
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- 103-D mutual localization with anonymous bearing measurements25 citations · 2012