Fadhl Hujainah

Papers

Total Citations

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About

Fadhl Hujainah is a robotics researcher whose work centers on intelligent path planning and autonomous navigation for mobile robots in complex, constrained environments. His most significant contribution is the development of the Generalized Laser Simulator (GLS) algorithm, a novel approach for solving path planning problems on two-dimensional maps while accounting for real-world constraints. This algorithm, detailed in his highly cited 2021 paper (16 citations), enables wheeled mobile robots to find efficient, collision-free paths, advancing the practicality of autonomous systems in industrial and service applications. Hujainah’s research bridges theoretical optimization and practical robotics, offering solutions that improve robot adaptability in cluttered or restricted spaces. His work has been recognized for its potential to enhance automation in manufacturing, logistics, and exploration. With a growing citation record, Hujainah continues to influence the field of mobile robotics, focusing on algorithms that balance computational efficiency with real-time performance. His contributions are particularly valuable for students and researchers seeking robust, constraint-aware navigation methods for next-generation autonomous vehicles.