W. A. J. Wan Ngah
Papers
2
Total Citations
11
H-Index
2
About
W. A. J. Wan Ngah is a researcher specializing in autonomous mobile robotics, with a particular focus on sensor-based local path planning and obstacle avoidance algorithms. Their major contributions lie in the development and comparative analysis of Bug family algorithms, which enable robots to navigate unknown static environments using limited sensory information. Wan Ngah’s work systematically evaluates how robots can detect obstacles and circumnavigate them while moving toward a target, a fundamental challenge in autonomous navigation. Their most cited paper, "PointsBug versus TangentBug algorithm, a performance comparison in unknown static environment" (2014, 8 citations), provides a critical overview of the Bug algorithm methodology timeline and benchmarks two key variants. Another notable work, "Point to point sensor based path planning algorithm for autonomous mobile robots" (2010, 3 citations), further explores localized navigation strategies. While the citation counts reflect a niche but focused impact, Wan Ngah’s research contributes to the foundational understanding of reactive navigation, offering practical insights for robotics engineers and students working on real-time path planning in constrained environments. Their work remains relevant for those exploring minimal-sensor approaches to autonomous mobility.
Research Focus
Key Achievements
Top Papers
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- 2