Fadlur Rahman Taib Hasan

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About

Fadlur Rahman Taib Hasan is a researcher specializing in robotics and control systems, with a particular focus on stabilization and autonomous navigation. His work centers on addressing the inherent instability and nonlinear dynamics of robotic platforms, from balancing robots to flying vehicles. His most-cited paper, "Robot Keseimbangan dengan Kendali PID dan Kalman Filter" (2020, 11 citations), tackles the challenge of noise-sensitive accelerometer data in self-balancing robots by integrating PID control with Kalman filtering—a method that has become a foundational reference for students and engineers working on two-wheeled balancing systems. In his more recent work, "PID Control Tuning Based on Wind Speed Sensor in Flying Robot" (2023, 2 citations), Hasan addresses a critical real-world problem: the loss of stability in Vertical Take Off and Landing (VTOL) drones due to variable wind conditions. By proposing a PID tuning strategy that adapts to real-time wind speed data, he offers a practical solution for enhancing flight robustness. Hasan’s contributions bridge theoretical control engineering with applied robotics, providing accessible, sensor-driven approaches that improve the reliability of autonomous systems. His research is particularly impactful for developing countries seeking low-cost, adaptive robotics solutions.