Papers
6
Total Citations
39
H-Index
3
About
Mohammed Mestari is a researcher whose work sits at the intersection of robotics, autonomous systems, and human-robot interaction. His research spans several interconnected areas, including mobile robot navigation, trajectory planning, social robotics, and intelligent sensing, with a particular focus on developing practical computational methods for real-world robotic challenges. Mestari's most significant contributions center on autonomous navigation and path planning for four-wheel robots. Through innovative application of the Decomposition-Coordination (DC) method, he has tackled complex nonlinear optimization problems governing robot kinematics and dynamics, enabling safer obstacle avoidance and more efficient trajectory execution. His 2015 trajectory planning paper, garnering 8 citations, laid foundational groundwork that subsequent studies in reactive path planning have built upon. His most-cited work (20 citations) explores social robots as cyber-physical actors in entertainment and education, reflecting a broader interest in expanding robotics beyond industrial settings into human-centered environments. Complementing this, his research on fuzzy lattice reasoning for human head-pose estimation demonstrates a commitment to advancing the perceptual intelligence necessary for meaningful human-robot interaction. Collectively, Mestari's portfolio signals a researcher steadily building expertise across mobile robotics and socially aware autonomous systems, making his work valuable reading for students navigating these rapidly evolving fields.
Research Focus
Key Achievements
Top Papers
- 1Social Robots as Cyber-Physical Actors in Entertainment and Education20 citations · 2019
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- 6Mobile Robot Autonomous Navigation: A Path Planning Approach2 citations · 2022