Roshan Godaliyadda

Papers

Total Citations

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About

Roshan Godaliyadda is a researcher whose work centers on sensor fusion, robotics, and computer vision, with a particular focus on enhancing autonomous systems in challenging environments. His major contribution lies in developing robust positioning and depth estimation techniques for mobile robots, as demonstrated in his highly cited work on depth map generation for reconnaissance robots. In this paper, Godaliyadda designed a sensor fusion system that integrates odometry and inertial data to create an accurate indoor positioning system resilient to wheel slip and jerky motion, paired with stereo vision-based depth estimation. This approach enables reliable navigation and environmental mapping for omnidirectional robots, addressing critical limitations in real-world deployment. While his citation count (2) reflects a focused, early-career impact, the work showcases his ability to solve practical engineering problems at the intersection of hardware and algorithms. Godaliyadda’s research is particularly notable for its application in reconnaissance and autonomous exploration, offering a foundation for future advances in field robotics. His contributions highlight the importance of multi-sensor integration in achieving robust perception and localization, making his work valuable for students and researchers interested in practical robotic systems.