K. Al-Ofi

King Fahd University of Petroleum and Minerals

Papers

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About

Dr. K. Al-Ofi is a pioneering researcher in cloud-enabled autonomous systems and indoor robotic navigation, with a focus on integrating cloud computing with real-time robotics. Their most-cited work, "Cloud-Based Autonomous Indoor Navigation: A Case Study" (2020, 3 citations), introduces a novel system that leverages cloud services for map generation, robot coordination, and video streaming, enabling remote monitoring and emergency control. This contribution addresses critical challenges in scalability and safety for autonomous navigation, offering a practical framework for deploying robots in dynamic indoor environments. Dr. Al-Ofi’s research bridges the gap between cloud infrastructure and robotics, enhancing the reliability and flexibility of autonomous systems. Their work has implications for smart buildings, logistics, and disaster response, where real-time data processing and remote oversight are essential. By demonstrating a fully integrated cloud-robotic architecture, Dr. Al-Ofi has laid groundwork for future advancements in autonomous navigation, making their research a valuable reference for students and engineers exploring the intersection of cloud computing and robotics.