Abdul Syakur

Papers

Total Citations

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About

Dr. Abdul Syakur is a robotics researcher specializing in autonomous navigation and mobile robot control systems. His most cited work, an experimental analysis of path planning strategies for indoor mobile robots, demonstrates his expertise in integrating global and local navigation algorithms. In this study, Syakur rigorously compared the Dijkstra algorithm with the Follow the Carrot method on a differential drive platform, revealing that Dijkstra achieved superior accuracy and precision for indoor delivery tasks. This contribution, while accumulating 4 citations, provides foundational insights for optimizing robot movement in constrained environments. Syakur’s research addresses critical challenges in autonomous logistics, particularly for warehouse and healthcare applications where reliable indoor navigation is essential. His work bridges theoretical path planning with practical implementation, offering clear experimental validation that guides both academic researchers and industry engineers. By focusing on algorithm performance metrics like path optimality and execution stability, Syakur contributes to the broader goal of making mobile robots more dependable in real-world settings. His findings continue to inform subsequent studies on hybrid navigation strategies and sensor integration for autonomous systems.