Papers
10
Total Citations
39
H-Index
4
About
A. A. Dahalan is a researcher specializing in computational approaches to autonomous mobile robot navigation, with a primary focus on path planning in static indoor environments. Their work centers on developing novel numerical iterative methods to solve the harmonic potential field equations that guide robots along collision-free paths from start to goal locations. Dahalan’s major contributions include the introduction and refinement of several accelerated iterative techniques—such as the Explicit Group AOR (EGAOR), Modified AOR, Rotated Laplacian operator, and Quarter-Sweep Modified Accelerated Overrelaxation (QSMAOR) methods—which significantly improve the computational efficiency of path planning algorithms. Their most cited paper, “Numerical evaluation of mobile robot navigation in static indoor environment via EGAOR Iteration” (2017, 8 citations), demonstrates the practical application of these techniques. With a cumulative citation count exceeding 40 across their top ten papers, Dahalan’s work has advanced the field by providing faster, more reliable numerical solutions for obstacle avoidance. Their research is particularly valuable for students and engineers seeking to implement efficient pathfinding algorithms in structured environments, bridging the gap between numerical analysis and robotics.
Research Focus
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Top Papers
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- 9Numerical Technique for Autonomous Robot Path Planning Based on QSAOR Iterative Method Using Indoor Environment2 citations · 2018
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