Mohamed Asraf

Papers

Total Citations

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About

Mohamed Asraf is a researcher at the forefront of integrating augmented reality (AR) with robotics, with a specific focus on enhancing human-robot interaction and control systems. His key research areas include AR-based feedback mechanisms, robotic arm manipulation, and the application of immersive technologies in automation. Asraf’s major contribution lies in pioneering the use of AR as a real-time feedback tool for robot arm systems, demonstrating how virtual visual information—such as images, animations, or video—can be overlaid onto physical reality to improve precision and user control. His most-cited work, "Robot Arm System Based on Augmented Reality Approach" (2020), has garnered 4 citations, marking a foundational step in bridging AR and robotics for practical automation tasks. This study highlights his ability to merge cutting-edge ICT with engineering, offering a novel approach to remote operation and training. Asraf’s work is particularly notable for its potential in educational and industrial settings, where intuitive AR interfaces can simplify complex robotic commands. His research continues to inspire new pathways in human-robot collaboration, making him a promising voice in the evolving field of augmented robotics.