H. Baafeef

King Fahd University of Petroleum and Minerals

Papers

Total Citations

H-Index

About

H. Baafeef is a researcher in autonomous systems and cloud robotics, with a focus on indoor navigation and real-time robotic coordination. Their most cited work, "Cloud-Based Autonomous Indoor Navigation: A Case Study" (2020), introduces a novel system that integrates cloud services for map generation, robot coordination, and video streaming, enabling remote monitoring and emergency control. This contribution addresses critical challenges in scalable and resilient autonomous navigation, demonstrating how cloud infrastructure can enhance robotic decision-making and safety. With 3 citations, this paper has laid groundwork for further exploration in cloud-enabled robotics, particularly in indoor environments where real-time data processing and remote oversight are essential. Baafeef's work bridges the gap between cloud computing and autonomous navigation, offering practical solutions for smart buildings, logistics, and emergency response systems. Their research underscores the potential of cloud-based architectures to improve the reliability and adaptability of autonomous robots, making it a valuable reference for students and researchers interested in the intersection of robotics, cloud computing, and intelligent systems.