Muhammad Alfiyan

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About

Muhammad Alfiyan is a researcher in robotics and control systems, with a focus on intelligent mobile platforms and motor-driven locomotion. His work centers on the design and optimization of omnidirectional robots, particularly those employing mecanum wheels for enhanced maneuverability in constrained environments. Alfiyan’s most cited paper, "Mecanum 4 Omni Wheel Directional Robot Design System Using PID Method" (2023, 10 citations), introduces a systematic approach to integrating PID control with four-wheel mecanum drive systems, enabling precise directional movement and stability. This contribution addresses key challenges in robot mobility, such as lateral and diagonal motion without reorientation, which is critical for industrial automation and service robotics. By combining hardware design with control theory, Alfiyan demonstrates how DC motor-driven robots can achieve human-like physical capabilities through computational intelligence. His work has implications for warehouse logistics, autonomous navigation, and assistive technologies. Though early in his career, Alfiyan’s research provides a foundational framework for students and engineers seeking to develop agile, cost-effective robotic platforms, bridging the gap between theoretical control methods and practical implementation.