Mohammad Affan

NED University of Engineering and Technology

Papers

Total Citations

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About

Mohammad Affan is a robotics and computer vision researcher whose work bridges assistive technology and intelligent sports systems. His primary research areas include human-robot interaction, autonomous navigation, and real-time computer vision applications. Affan’s most significant contribution is the development of a modular framework for the semi-autonomous RISE wheelchair, which integrates multiple user interfaces through the Robot Operating System (ROS). This work, cited 5 times, demonstrates a scalable approach to assistive mobility, enabling wheelchair users to control their movement via various input modalities—a critical advancement for individuals with limited motor function. In parallel, Affan designed a smart goalkeeper prototype that leverages computer vision and Raspberry Pi hardware to defend goals autonomously. This system, cited 3 times, uses color tracking and servo motor synchronization to detect and intercept footballs, offering an affordable training tool for athletes. By combining ROS-based modularity with low-cost embedded systems, Affan’s work exemplifies how robotics can enhance both accessibility and sports performance. His research continues to inspire practical, user-centered innovations in autonomous systems.