Wan Rozita Wan Din

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About

Wan Rozita Wan Din is a researcher specializing in autonomous mobile robot navigation, with a particular focus on solving the path planning problem in static indoor environments. Her work centers on developing efficient numerical methods to enable robots to move from arbitrary start locations to specified goal locations without collisions. Her major contributions include the application of the EGAOR (Explicit Group Accelerated Over-Relaxation) iteration technique and the rotated Laplacian operator to improve the speed and accuracy of path planning algorithms. These approaches offer computational advantages over traditional methods, making real-time navigation more feasible. While her citation counts are modest—with her most cited paper, "Numerical evaluation of mobile robot navigation in static indoor environment via EGAOR Iteration" (2017), garnering 8 citations—her research represents a focused effort to bridge numerical analysis and robotics. Her work on accelerated iterative methods (2018) further demonstrates her commitment to optimizing navigation performance. Wan Rozita Wan Din's contributions are particularly relevant for researchers interested in the intersection of computational mathematics and autonomous systems, offering practical solutions for indoor robot guidance.