Mohamed Reda

Papers

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About

Mohamed Reda is a researcher specializing in mobile robotics, with a primary focus on simultaneous localization and mapping (SLAM) for indoor navigation. His most-cited work, "Experimental Analysis of Gmapping SLAM Algorithm for Mobile Robot Indoor Navigation" (2024), provides a rigorous experimental investigation into how a mobile robot’s linear and angular velocities affect mapping accuracy when using LiDAR-based SLAM. By systematically analyzing deviations in 2D map construction, Reda offers practical insights for optimizing robot motion parameters to enhance navigation reliability. This contribution is particularly valuable for researchers and engineers developing autonomous systems in constrained indoor environments. With 3 citations to date, his work is gaining recognition for its applied approach to a fundamental challenge in robotics. Reda’s research bridges the gap between theoretical SLAM algorithms and real-world deployment, making him a promising voice in the field of autonomous navigation and sensor-based mapping.