Khaja Moiduddin
Papers
2
Total Citations
33
H-Index
2
About
Khaja Moiduddin is a leading researcher in autonomous systems, robotics, and intelligent transportation, with a focus on developing real-world solutions for smart cities. His work bridges advanced sensor fusion, fuzzy logic algorithms, and laser simulation to create autonomous platforms that address critical urban infrastructure challenges. Notably, his most-cited paper (24 citations) introduces a novel real-time roundabout detection and navigation system for smart vehicles, integrating laser simulator-fuzzy logic algorithms with sensor fusion to enable wheeled mobile robots to navigate complex road environments autonomously. Moiduddin also pioneered the first autonomous robotics platform for road marks painting (9 citations), a groundbreaking system that combines mobile robot navigation with precision painting capabilities, eliminating the need for manual labor in hazardous road work. His contributions demonstrate a unique ability to translate theoretical algorithms into practical, deployable systems that enhance road safety and efficiency. By tackling the intersection of autonomous navigation and urban maintenance, Moiduddin’s work has significant implications for the future of smart cities, offering scalable solutions that reduce human risk and operational costs.
Research Focus
Key Achievements
Top Papers
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- 2