Mohd Nadhir Ab Wahab
Papers
11
Total Citations
491
H-Index
8
About
Dr. Mohd Nadhir Ab Wahab is a leading researcher in mobile robotics, with a primary focus on path planning and autonomous navigation. His work critically advances how robots move through both known and unknown environments, from static indoor spaces to dynamic, real-world settings. He is best known for his comprehensive comparative review on mobile robot path planning (232 citations), which serves as a foundational resource for the field. Dr. Ab Wahab has made significant contributions by developing and optimizing meta-heuristic algorithms, including an improved genetic algorithm (107 citations) and a hybrid PSOFS algorithm (43 citations) for navigation in unknown indoor environments. His recent innovations, such as the integration of Dijkstra’s algorithm with Bezier optimization (17 citations) and the Alpha-Beta Guided Particle Swarm Optimization algorithm (10 citations), enhance both the safety and smoothness of robot trajectories. Beyond path planning, he has explored monocular vision for depth estimation (29 citations) and investigated the role of robotics in education during the COVID-19 pandemic (20 citations). With a growing portfolio of highly cited work, Dr. Ab Wahab is shaping the future of intelligent, autonomous mobile systems.
Research Focus
Key Achievements
Top Papers
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- 2Improved genetic algorithm for mobile robot path planning in static environments107 citations · 2024
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- 4Target distance estimation using monocular vision system for mobile robot29 citations · 2011
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