Muhammad Khairuddin

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About

Muhammad Khairuddin is an emerging researcher whose work sits at the intersection of mobile robotics, control systems, and autonomous navigation. His research focuses primarily on omnidirectional mobile robot locomotion, exploring advanced kinematic modeling and control strategies that enable robots to move with full freedom across any direction while maintaining precise orientation and translational control. Among his notable contributions, Khairuddin has investigated near real-time simulation frameworks for Independent Steering Independent Driving (ISID) mobile robots, a sophisticated locomotion architecture that offers exceptional maneuverability in complex environments. His 2021 paper on this topic has garnered 5 citations, reflecting growing interest in this niche but impactful area. Complementing this work, he developed an innovative exponential decreased kinematic control algorithm paired with PID control schemes for four-omni-wheeled robots, ensuring that pose errors diminish systematically over time — a meaningful advancement in low-level motor control precision, accumulating 4 citations since publication. Though early in his research career, Khairuddin's contributions demonstrate a strong command of both theoretical modeling and practical simulation validation. His work provides valuable foundations for students and engineers designing next-generation autonomous mobile platforms operating in dynamic, real-world environments.