Ilyas Khan

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About

Dr. Ilyas Khan is a leading researcher in robotics and autonomous systems, with a primary focus on intelligent navigation and motion control in complex, dynamic environments. His most-cited work, “Real-time navigation of mecanum wheel-based mobile robot in a dynamic environment” (2024, 18 citations), introduces a novel algorithm that enables a mecanum-wheeled robot to autonomously reach a goal while avoiding obstacles via the shortest possible path. This contribution is significant for its real-time adaptability, addressing a longstanding challenge in mobile robotics: safe and efficient path planning amidst moving obstacles. Dr. Khan’s research integrates control theory, sensor fusion, and optimization to enhance the agility and reliability of omnidirectional platforms, with applications in warehouse logistics, service robotics, and industrial automation. His work has garnered attention for its practical impact, bridging the gap between theoretical path planning and real-world deployment. By advancing the capabilities of mecanum-wheeled robots, Dr. Khan is helping to shape the next generation of autonomous vehicles that can navigate crowded, unpredictable spaces with precision and speed.