Muhannad Alshehab

King Fahd University of Petroleum and Minerals

Papers

Total Citations

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About

Dr. Muhannad Alshehab is a robotics and automation researcher whose work focuses on autonomous systems for renewable energy applications, particularly in photovoltaic (PV) panel maintenance. His most cited paper, "Design and Implementation of an Autonomous Mobility Algorithm for Photovoltaic Panel Surface Cleaning Robots Based on Webots" (2022), introduces a novel autonomous cleaning robot that navigates PV module surfaces using a pre-defined trajectory guided by an Inertial Measurement Unit (IMU). This contribution addresses the critical challenge of dust accumulation on solar panels, which significantly reduces energy efficiency in arid regions. By integrating path planning algorithms with Webots simulation, Dr. Alshehab demonstrates a practical, low-cost solution for maintaining solar farm output without human intervention. His work bridges robotics, sensor integration, and sustainable energy infrastructure, offering a scalable approach to automated cleaning. With growing interest in solar energy optimization, his research has garnered attention for its direct applicability to real-world renewable energy systems. Dr. Alshehab’s contributions exemplify how autonomous mobile robots can enhance the reliability and efficiency of green technologies, making him a notable voice in the intersection of robotics and clean energy.