Shatha Alamri

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About

Shatha Alamri is a robotics researcher whose work centers on autonomous navigation and maze-solving systems, with a particular focus on developing efficient algorithms for robotic pathfinding in constrained environments. Her major contributions include the creation of an enhanced wall-follower approach for autonomous maze-solving robotics, detailed in her 2023 paper, which improves upon traditional methods by enabling robots to more effectively interpret their surroundings and navigate around obstacles. Her foundational 2021 paper, "Autonomous Maze Solving Robotics: Algorithms and Systems," has garnered 23 citations, establishing her as a key voice in this niche. Together, her most-cited works have accumulated over 40 citations, reflecting their relevance to researchers tackling real-world challenges in autonomous navigation. Alamri’s work is notable for bridging theoretical algorithm design with practical robotic implementation, offering solutions that are both robust and adaptable. Her achievements highlight a commitment to advancing the capabilities of autonomous systems, making her research a valuable resource for students and engineers exploring the intersection of robotics, artificial intelligence, and spatial reasoning.