K. Alhouty

King Fahd University of Petroleum and Minerals

Papers

Total Citations

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About

Dr. K. Alhouty is a researcher focused on the intersection of cloud computing and autonomous robotics, with a particular emphasis on indoor navigation systems. Their most cited work, "Cloud-Based Autonomous Indoor Navigation: A Case Study" (2020), presents a novel framework that leverages cloud services for real-time map generation, robot coordination, and video streaming. This system enables remote monitoring and emergency control, addressing critical challenges in deploying autonomous robots in dynamic indoor environments. With 3 citations, this foundational study demonstrates the potential of cloud-enabled architectures to enhance the scalability and safety of robotic navigation. Dr. Alhouty’s contributions are particularly relevant for applications in logistics, healthcare, and smart buildings, where reliable and remotely manageable autonomous systems are essential. Their work bridges the gap between cloud infrastructure and real-time robotic control, offering a practical blueprint for future developments in autonomous indoor navigation.