Shuruq Alshehri

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About

Dr. Shuruq Alshehri is a robotics researcher specializing in autonomous navigation and intelligent control systems, with a particular focus on maze-solving algorithms. Her work addresses the fundamental challenge of enabling robots to perceive, interpret, and navigate complex environments without human intervention. Dr. Alshehri’s major contributions include the development of an enhanced wall-follower approach for autonomous maze-solving, which significantly improves the efficiency and reliability of robotic navigation in constrained spaces. Her most cited paper, "Autonomous Maze Solving Robotics: Algorithms and Systems" (2021), has garnered 23 citations, while her subsequent work on the enhanced wall-follower system (2023) has accumulated 20 citations, reflecting the growing interest in her methodologies. By advancing the theoretical and practical foundations of autonomous navigation, Dr. Alshehri’s research has implications for applications ranging from search-and-rescue operations to warehouse automation. Her work stands out for its systematic approach to solving a classic robotics problem, offering clear, implementable solutions that bridge the gap between algorithmic theory and real-world robotic performance.