Fetoh Hason

Papers

Total Citations

H-Index

About

Fetoh Hason is an emerging researcher in the fields of robotics, optimization algorithms, and bio-inspired computing. His work focuses on harnessing nature-inspired techniques to solve complex engineering challenges, particularly in the autonomous navigation of mobile robots. His most-cited paper, "A review: On bio-inspired optimization methods for path planning of mobile robot" (2023), has already garnered 5 citations, reflecting growing interest in his comprehensive synthesis of swarm intelligence, genetic algorithms, and other evolutionary methods for real-time path planning. Hason’s contributions lie in systematically evaluating how algorithms like particle swarm optimization and ant colony optimization can improve robot efficiency in dynamic, obstacle-rich environments. His review serves as a valuable resource for researchers seeking to understand the trade-offs between precision, speed, and simplicity in autonomous navigation systems. As a developing scholar, Hason is helping to bridge the gap between theoretical optimization and practical robotics, offering clear guidance for future algorithm selection and hybrid model development. His work is particularly relevant for students and engineers working on mobile robot design, autonomous vehicles, and intelligent control systems.