Mohd Haris Asyraf Shee Kandar

Papers

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About

Mohd Haris Asyraf Shee Kandar is a researcher specializing in autonomous systems and unmanned aerial vehicle (UAV) path planning, with a particular focus on computational geometry and optimization algorithms. His most-cited work, the 2020 review "Different Cell Decomposition Path Planning Methods for Unmanned Air Vehicles-A Review," has garnered 39 citations, establishing him as a key voice in synthesizing and advancing decomposition-based navigation strategies for UAVs. This comprehensive survey systematically compares cell decomposition techniques—including exact, approximate, and adaptive methods—highlighting their trade-offs in computational efficiency, obstacle avoidance, and real-time applicability. Beyond this seminal review, Kandar’s research contributions extend to developing novel path planning frameworks that integrate environmental constraints with dynamic re-planning capabilities, addressing critical challenges in autonomous flight safety and mission efficiency. His work has been instrumental in bridging theoretical algorithms with practical UAV deployment, influencing subsequent studies in aerial robotics and intelligent transportation systems. With a growing citation impact, Kandar continues to shape the discourse on efficient, scalable navigation solutions for unmanned systems, making his research essential reading for students and engineers exploring autonomous vehicle technologies.