Muhamad Khairul Ali Hassan

Papers

Total Citations

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About

Muhamad Khairul Ali Hassan is a robotics researcher specializing in motion planning and autonomous navigation for mobile robots. His work focuses on developing efficient algorithms for path planning in complex environments, particularly for holonomic and omnidirectional robotic systems. His most-cited paper, "Shortest Path Planning for Rectangular Holonomic Omnidirectional Mobile Robot Using Improved PRM Algorithm" (2025), introduces a novel enhancement to the Probabilistic Roadmap (PRM) algorithm, enabling rectangular-shaped robots to compute optimal, collision-free trajectories in cluttered spaces. This contribution addresses a critical gap in robotics—adapting path planning for non-circular robot footprints—and has practical implications for warehouse automation, service robotics, and industrial logistics. While his citation count is currently modest (2 citations), his work represents an early-stage innovation with potential for significant impact as the field advances. Hassan’s research bridges theoretical algorithm design and real-world robotic applications, positioning him as an emerging voice in autonomous systems. His dedication to improving robot mobility and efficiency underscores his role in shaping the next generation of intelligent, self-navigating machines.