Mahdi Fakoor

Papers

Total Citations

110

H-Index

About

Mahdi Fakoor is a leading researcher in robotics and artificial intelligence, specializing in humanoid robot navigation and path planning in unknown environments. His work addresses a critical challenge in robotics: enabling humanoid robots to autonomously navigate complex, real-world settings where environmental information is incomplete or unavailable. Fakoor’s major contributions include pioneering the integration of fuzzy logic with Markov decision processes and artificial potential field methods to create adaptive, robust navigation systems. His most-cited paper, "Humanoid robot path planning with fuzzy Markov decision processes" (2016, 77 citations), introduces a novel framework that enhances decision-making under uncertainty, significantly advancing the field. Another key work, "Revision on fuzzy artificial potential field for humanoid robot path planning in unknown environment" (2015, 33 citations), refines existing techniques to improve robot mobility in unpredictable terrains. With over 110 citations across his top publications, Fakoor’s research has had a tangible impact on robotics, influencing both academic studies and practical applications in autonomous systems. His innovative approaches continue to inspire new generations of roboticists tackling the complexities of real-world navigation.