Papers
22
Total Citations
290
H-Index
11
About
Carlos Rizzo is a robotics and autonomous systems researcher whose work spans over a decade of innovation in some of the most challenging environments imaginable — tunnels, pipes, sewers, and large-scale industrial facilities. His research primarily focuses on robot localization and navigation in confined and GPS-denied environments, multi-robot coordination, and electromagnetic signal propagation, with growing contributions to construction robotics and human-robot collaboration. Rizzo's most influential contribution, accumulating 42 citations, synthesizes ten years of ground robotics research in tunnel environments, offering the field a rare longitudinal perspective on what works — and what doesn't — in real-world deployment. Complementing this, his signal-based deployment planning work (40 citations) pioneered the use of RF fading phenomena not as a limitation, but as a localization tool, a creative inversion that defines much of his lab's identity. His BIM-based localization research (30 citations) extends these ideas into construction automation, bridging civil engineering and robotics in timely ways. More recently, Rizzo has embraced large language models for adaptive human-robot task planning, signaling a forward-looking pivot toward natural language interfaces. Across aerial inspection, cooperative AGVs, and pipe robotics, his portfolio reflects a researcher equally comfortable in theory and field experimentation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3BIM-based Localization and Mapping for Mobile Robots in Construction30 citations · 2021
- 4
- 5Transversal fading analysis in straight tunnels at 2.4 GHz17 citations · 2013
- 6ARSI: An Aerial Robot for Sewer Inspection15 citations · 2019
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- 8
- 9UHF and SHF Fading Analysis Using Wavelets in Tunnel Environments13 citations · 2013
- 10RF odometry for localization in pipes based on periodic signal fadings13 citations · 2014