Papers
23
Total Citations
798
H-Index
13
About
Alessandro Renzaglia is a researcher whose work sits at the intersection of robotics, autonomous systems, and multi-robot coordination, with a particular focus on micro aerial vehicles (MAVs) and collaborative robot teams. His most influential contribution, "Vision-Controlled Micro Flying Robots" (2014, 297 citations), established foundational methods for autonomous navigation and mapping in GPS-denied environments — a critical capability for applications in search and rescue, environmental monitoring, and security surveillance. This work helped define the trajectory of small-scale autonomous aerial robotics as a practical field. Renzaglia has made sustained contributions to multi-robot coverage problems, developing adaptive and distributed strategies that enable robot teams to efficiently surveil complex, non-convex environments with limited sensor capabilities. His involvement in the EU-funded SFly project demonstrated his commitment to translating theoretical advances into real swarm systems. Later work expanded into collaborative gradient and Hessian estimation for source-seeking tasks, showcasing his versatility across both aerial and ground-based robotics. He has also addressed human-aware navigation, reflecting a broader concern for socially intelligent autonomous systems. With hundreds of citations accumulated across a decade of research, Renzaglia's portfolio represents a coherent and impactful body of work shaping modern autonomous multi-robot systems.
Research Focus
Key Achievements
Top Papers
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- 3Multi-robot three-dimensional coverage of unknown areas79 citations · 2012
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- 5SFly: Swarm of micro flying robots36 citations · 2012
- 6Navigating between people: A stochastic optimization approach31 citations · 2012
- 7Cognitive-based adaptive control for cooperative multi-robot coverage30 citations · 2010
- 8Adaptive-based distributed cooperative multi-robot coverage24 citations · 2011
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