Papers
10
Total Citations
233
H-Index
7
About
Paul Checchin is a robotics researcher whose work has made significant contributions to autonomous perception, localization, and mapping — particularly through the innovative application of radar-based sensing in mobile robotics. His most influential contribution, "Localization and Mapping Using Only a Rotating FMCW Radar Sensor" (2013, 98 citations), demonstrated that rotating radar sensors — largely overlooked in mobile robotics — could reliably deliver both distance and velocity data for simultaneous localization and mapping (SLAM) tasks. This work established him as a pioneering voice in radar-based autonomy, a field now increasingly relevant given radar's inherent robustness to adverse atmospheric conditions and its long-range capabilities. Checchin's broader research portfolio spans point cloud registration, with his CICP algorithm (2018, 38 citations) addressing the challenging problem of sparse-dense data alignment, as well as detection and tracking of moving objects, 3D keypoint detection, and industrial object recognition for factory automation. His early explorations in line-based SLAM and convoy-based monocular localization further reflect a career-long commitment to robust environmental perception across diverse platforms and scenarios. With cumulative citations exceeding 230, his work continues to inform researchers developing reliable autonomous systems for real-world outdoor and industrial environments.
Research Focus
Key Achievements
Top Papers
- 1Localization and Mapping Using Only a Rotating FMCW Radar Sensor98 citations · 2013
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- 7Communicating Vehicles in Convoy and Monocular Vision-based Localization7 citations · 2010
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