Sammy Omari
Papers
8
Total Citations
656
H-Index
6
About
Sammy Omari’s research lies at the intersection of aerial robotics, autonomous inspection, and visual-inertial navigation, with a focus on enabling drones to perform complex industrial tasks with minimal human intervention. His most significant contributions are in structural inspection path planning, where he developed fast, efficient algorithms that allow unmanned aerial vehicles (UAVs) to autonomously navigate and inspect intricate 3D structures. His landmark paper, “Structural inspection path planning via iterative viewpoint resampling with application to aerial robotics” (2015), has garnered over 200 citations and introduces a novel two-step optimization approach that rapidly generates high-quality inspection routes from triangular mesh models. This work, along with related papers on coverage path planning and the RRTOT algorithm, has become foundational in the field. Omari also advanced dense visual-inertial odometry, integrating stereo vision and inertial data for robust real-time mapping and pose estimation. With total citations exceeding 650 across his top papers, his research has been instrumental in making UAVs practical tools for visual industrial inspection, particularly in hazardous or hard-to-reach environments.
Research Focus
Key Achievements
Top Papers
- 1
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- 4Visual industrial inspection using aerial robots57 citations · 2014
- 5
- 6Dense visual-inertial navigation system for mobile robots33 citations · 2015
- 7Tightly Coupled Visual-Inertial Navigation System Using Optical Flow6 citations · 2013
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