Shaher Alshammrei

Papers

Total Citations

128

H-Index

About

Shaher Alshammrei is a leading researcher in mobile robotics and autonomous navigation, with a primary focus on developing efficient path planning and obstacle avoidance algorithms. His most influential work, "Improved Dijkstra Algorithm for Mobile Robot Path Planning and Obstacle Avoidance" (2022), has garnered 128 citations, underscoring its significance in both academic and practical robotics applications. In this seminal paper, Alshammrei introduced a novel optimization of the classic Dijkstra algorithm, enabling mobile robots to compute collision-free, optimal paths in real-world environments. His approach bridges the gap between theoretical graph-based search methods and practical implementation, addressing critical challenges in dynamic obstacle avoidance. Beyond this, Alshammrei’s research contributes to the broader fields of autonomous systems and intelligent control, where his work has been instrumental in advancing the reliability and efficiency of mobile robot navigation. His achievements are particularly notable for integrating algorithmic rigor with hands-on experimentation, making his findings directly applicable to educational robotics platforms and industrial automation. Alshammrei’s contributions continue to inspire new generations of researchers seeking to push the boundaries of autonomous mobility.