Hassan M. Rashad

Papers

Total Citations

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About

Hassan M. Rashad is a robotics researcher specializing in path planning algorithms for mobile robot navigation, a field critical to modern autonomous systems. His work focuses on developing and optimizing algorithms that enable robots to navigate efficiently, safely, and with minimal computational cost. In his 2022 study, "Comparison of Path Planning between Improved Informed and Uninformed Algorithms for Mobile Robot," Rashad systematically evaluated different navigation strategies, contributing foundational insights into algorithm selection for real-world robotic tasks. His 2025 paper, "Optimizing Navigation in Mobile Robots: Modified Particle Swarm Optimization and Genetic Algorithms for Effective Path Planning," advances the field by applying bio-inspired optimization techniques—specifically, modified particle swarm optimization and genetic algorithms—to design collision-free, shortest, and time-efficient paths. While his citation counts are still growing, Rashad’s work addresses the pressing need for robust, adaptive navigation in increasingly autonomous environments. His research is particularly relevant for students and engineers working on mobile robotics, autonomous vehicles, and intelligent systems, offering practical frameworks for improving robot autonomy and operational reliability.