Wan Rahiman
Papers
16
Total Citations
654
H-Index
9
About
Wan Rahiman is a prominent researcher specializing in autonomous mobile robotics, with a particular focus on robot navigation, path planning, and automated guided vehicles (AGVs). His work spans both theoretical foundations and practical implementations, making significant contributions to how robots perceive, navigate, and operate in complex, dynamic environments. His most influential contribution, "A Comprehensive Study for Robot Navigation Techniques" (2019), has accumulated 257 citations, establishing him as a key voice in autonomous systems research. Complementing this, his development of the hybrid PSO–GWO optimization algorithm for multi-objective path planning (141 citations) demonstrated innovative use of meta-heuristic methods to solve real-world navigation challenges. His exploration of multi-robot coordination using the Whale Optimization Algorithm further highlights his command of bio-inspired computational techniques. More recently, Wan Rahiman has turned his attention to AGV technologies, authoring comprehensive reviews on dynamic obstacle avoidance and navigation approaches that have collectively garnered over 100 citations since 2023. His work on UWB indoor localization using Kalman-moving average filter fusion adds a valuable hardware-grounded dimension to his portfolio. With a cumulative citation count exceeding 640, Wan Rahiman's research continues to meaningfully advance the field of intelligent autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1A comprehensive study for robot navigation techniques257 citations · 2019
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- 6An Integrated approach for Path Planning for Mobile Robot Using Bi-RRT28 citations · 2019
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- 9Mathematical Modeling of Self Balancing Robot and Hardware Implementation10 citations · 2022
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