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About

Mohamed Kesraoui is a researcher whose work sits at the dynamic intersection of robotics, renewable energy systems, and intelligent control. His research has focused primarily on developing automated orientation and positioning systems for solar energy applications, leveraging robot manipulators to maximize the efficiency of photovoltaic panels and concentrated solar power installations. Beginning with foundational work in 2011 on solar panel orientation systems, Kesraoui has progressively advanced the field by integrating PLC-based robotic platforms with sun-tracking heliostats, demonstrating practical pathways to improving solar energy harvest through precision mechanical control. His most cited contribution, a 2013 study on heliostat orientation using robot manipulators, has garnered notable recognition within the solar-robotics community. Beyond renewable energy, Kesraoui has expanded his research into autonomous mobile robotics, developing an innovative navigation framework that fuses fuzzy logic with Q-learning reinforcement techniques, enabling mobile robots to intelligently navigate unknown environments with simultaneous obstacle avoidance and goal-seeking capabilities. This body of work, accumulating over 30 citations, reflects a coherent research vision centered on intelligent automation serving both sustainable energy and autonomous systems — areas of growing global importance for engineering and applied research communities alike.