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About

Mohammed Yousif is a pioneering researcher at the intersection of robotics, artificial intelligence, and education. His work spans three critical domains: robotic path planning using bio-inspired algorithms, human-robot interaction in special education, and the deployment of social robots in learning environments. Yousif's most cited paper, "A Robotic Path Planning by Using Crow Swarm Optimization Algorithm" (2021, 8 citations), introduced a novel meta-heuristic approach to solving one of robotics' fundamental challenges—navigating from source to destination with minimal cost. His impactful study "Viability of Robots in Improving Autistic Student’s Engagement and Happiness When Learning" (2021, 7 citations) demonstrated how robotic technology can transform special education by enhancing engagement and emotional well-being for autistic learners. More recently, his systematic review "A Human-Robot Interaction in Education: A Comparative Study of Furhat and NAO Robots" (2025, 5 citations) provides critical insights into how social robots can boost student interaction and academic achievement. Yousif's work uniquely bridges technical robotics optimization with human-centered applications, showing how algorithmic advances can directly improve quality of life. His research continues to shape how robots are designed for educational and therapeutic settings, making him a notable voice in socially assistive robotics.