Mohammad Syafrullah
Papers
3
Total Citations
13
H-Index
3
About
Mohammad Syafrullah is a researcher specializing in mobile robotics and control systems engineering, with a particular focus on optimizing the performance of wheeled mobile robots. His work centers on the design and tuning of PID controllers—a fundamental component in robotics—using advanced metaheuristic algorithms. Syafrullah’s most cited paper, "Performance Evaluation of PID Controller Parameters Gain Optimization for Wheel Mobile Robot Based on Bat Algorithm and Particle Swarm Optimization" (2019, 7 citations), demonstrates his key contribution: systematically comparing bio-inspired optimization techniques to achieve superior robot motion control. He further refined this approach in "PID Controller Design for Mobile Robot Using Bat Algorithm with Mutation (BAM)" (2019, 3 citations), introducing a novel variant that enhances convergence and stability. His research also encompasses system identification and motion tracking for mobile robots, as seen in his 2018 work (3 citations). By addressing the practical challenge of tuning controller gains for autonomous navigation, Syafrullah’s work supports safer, more efficient robots in both industrial and domestic settings. His cumulative citations, while modest, reflect a focused and technically rigorous contribution to the field of intelligent control systems.
Research Focus
Key Achievements
Top Papers
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