Nurbaiti Wahid

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About

Nurbaiti Wahid is a robotics researcher specializing in mobile robot locomotion and sensor integration, with a particular focus on differential drive systems. Her work centers on developing and evaluating self-driving algorithms for custom-built wheeled mobile robots (WMRs), combining inertial measurement units like the MPU9250 with optical encoders for precise motion control. Her most cited paper, "Linear Differential Driven Wheel Mobile Robot Based on MPU9250 and Optical Encoder" (2022), demonstrates a practical framework for algorithm evaluation by identifying key operational parameters—such as wheel velocity, turning radius, and sensor fusion accuracy—that enable robust autonomous navigation. This foundational research has garnered 2 citations, establishing her contributions to low-cost, real-world robotics testing platforms. Wahid’s work bridges theoretical control algorithms with hardware implementation, offering students and researchers a replicable methodology for prototyping and parameter derivation in mobile robotics. Her achievements highlight the importance of sensor calibration and algorithm validation in advancing autonomous vehicle technologies, making her research a valuable reference for those exploring differential drive kinematics and embedded system design in educational and applied robotics contexts.