Mohd Asri Mansor

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About

Mohd Asri Mansor is a pioneer in intelligent robotics and autonomous navigation, best known for his foundational work in path planning for unknown environments. His seminal 1999 paper, "Path Planning in Unknown Environment With Obstacles Using Virtual Window," introduced the innovative Virtual Window method, which enables robots to navigate dynamically through cluttered, obstacle-filled spaces without prior maps. This approach has garnered 18 citations and remains a key reference in the field of mobile robotics, influencing subsequent research in real-time obstacle avoidance and sensor-based navigation. Mansor's contributions extend to the development of adaptive algorithms that integrate perception and motion control, bridging the gap between theoretical planning and practical deployment. His work has been instrumental in advancing autonomous systems for applications ranging from industrial automation to search-and-rescue operations. With a career focused on solving complex navigation challenges, Mansor continues to inspire researchers seeking robust, efficient solutions for robots operating in unpredictable settings.