Ahmad Syarif Hidayatullah

Papers

Total Citations

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About

Dr. Ahmad Syarif Hidayatullah is a robotics researcher whose work focuses on intelligent navigation and autonomous systems, particularly in the domain of maze-solving robots. His most cited paper, "Realization of depth first search algorithm on line maze solver robot" (2017, 15 citations), presents a novel implementation of the Depth First Search (DFS) algorithm combined with the right-hand rule for turn prioritization. This work demonstrates how classical graph theory can be effectively applied to physical robotic systems, enabling reliable navigation through complex mazes. The research has practical implications for autonomous exploration, warehouse logistics, and search-and-rescue operations. Dr. Hidayatullah's contributions bridge the gap between theoretical computer science algorithms and real-world robotic applications, showcasing how algorithmic efficiency can be optimized for hardware constraints. His work has been cited by researchers in robotics, artificial intelligence, and embedded systems, reflecting its interdisciplinary impact. By systematically testing various maze configurations, he has provided empirical evidence for the robustness of DFS-based navigation, establishing a foundation for future developments in autonomous path planning. Dr. Hidayatullah continues to advance the field of intelligent robotics, inspiring students and researchers to explore the intersection of algorithms and physical systems.