Mohammed Khdair

Papers

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About

Mohammed Khdair is a researcher specializing in robotics, artificial intelligence, and embedded systems, with a particular focus on autonomous navigation and intelligent control. His most notable contribution is the development of an intelligent maze-solving robot that integrates image processing with graph theory algorithms, enabling rapid and reliable shortest-path determination in complex line mazes. This work, published in 2017 and cited 25 times, addresses a fundamental challenge in mobile robotics: the efficient navigation from a starting point to a destination. By combining computer vision with algorithmic optimization, Khdair’s approach enhances both the speed and accuracy of autonomous pathfinding, offering practical applications in warehouse logistics, search-and-rescue operations, and educational robotics. His research bridges theoretical graph algorithms with real-world hardware implementation, demonstrating how AI can optimize robotic decision-making. Khdair’s work is particularly valuable for students and engineers seeking to understand the integration of perception and planning in autonomous systems, and it continues to influence developments in intelligent robotics and embedded system design.