Othman Nur Aqilah
Papers
1
Total Citations
2
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1
About
Dr. Othman Nur Aqilah is a leading researcher in mobile robotics and intelligent navigation systems, with a primary focus on enhancing autonomous robot localization under challenging environmental conditions. Her most cited work, "Fuzzy Logic Based EKF for Mobile Robot Navigation: An Analysis of Different Fuzzy Membership Functions" (2016), addresses a critical limitation of the Extended Kalman Filter (EKF)—its poor performance in non-Gaussian noise environments. By integrating fuzzy logic with EKF, Dr. Aqilah systematically evaluated various membership functions to improve state estimation accuracy, offering a robust solution for real-world robotic navigation. This contribution has garnered 2 citations and laid the groundwork for adaptive sensor fusion techniques. Her research bridges the gap between theoretical control systems and practical deployment, making her a key figure in advancing intelligent, noise-resilient navigation algorithms. Dr. Aqilah’s work continues to inspire students and researchers exploring fuzzy logic, Kalman filtering, and autonomous systems.
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Top Papers
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