Mostafa Abdelrahman

Papers

Total Citations

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About

Mostafa Abdelrahman’s research career is rooted in advancing the autonomy and perception capabilities of wheeled mobile robots (WMRs), with a particular focus on vision-based navigation and control systems. His most-cited work, “Vision-Based Road Tracking of Wheeled Mobile Robot” (2013), addresses a critical challenge in autonomous robotics: enabling robots to navigate unstructured environments without continuous human guidance. By developing robust road-tracking algorithms that leverage visual input, Abdelrahman’s research contributes directly to the practical deployment of autonomous systems in civil industries and military applications. While his citation count to date is modest—with his top paper garnering 2 citations—his work represents foundational efforts in a field that has since exploded in relevance. His contributions highlight the early technical hurdles of integrating computer vision with real-time robotic control, a problem that remains central to modern autonomous vehicle and mobile robot research. For students and researchers exploring the intersection of robotics, computer vision, and control theory, Abdelrahman’s work offers a clear window into the early-stage engineering challenges that paved the way for today’s more sophisticated autonomous systems.