Charles V. Stewart
Papers
2
Total Citations
22
H-Index
2
About
Charles V. Stewart is a leading researcher in robotics and computer vision, with a focus on 3D perception, autonomous systems, and infrastructure inspection. His work bridges probabilistic modeling and real-world robotic applications, particularly in LiDAR-based scene understanding and non-destructive evaluation. Stewart’s most cited paper, “A probabilistic representation of LiDAR range data for efficient 3D object detection” (2008, 18 citations), introduced a novel occupancy grid framework that extends robot mapping principles to handle free, occupied, and hidden space in LiDAR scans. This contribution has influenced efficient 3D object detection in cluttered environments, addressing key challenges in autonomous navigation and perception. Additionally, his work on the “Rapid response non-destructive inspection robot for condition assessment of critical water mains” (2018, 4 citations) demonstrates a practical application of robotics for infrastructure monitoring. This system enables rapid wall thickness assessment of cement-lined cast iron water pipes during emergency repair windows, showcasing Stewart’s ability to translate research into impactful engineering solutions. His contributions highlight a commitment to advancing both theoretical foundations and deployable technologies in robotics.
Research Focus
Key Achievements
Top Papers
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- 2