Mohammad Abubaqr

Khwaja Fareed University of Engineering and Information Technology

Papers

Total Citations

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About

Mohammad Abubaqr is a researcher whose work sits at the intersection of robotics, embedded systems, and human-computer interaction, with a particular focus on developing intuitive and accessible vehicle control technologies. His research addresses a compelling challenge in modern automation: making complex robotic and vehicular systems operable by non-expert users through innovative interface design. Abubaqr's most notable contribution is his development of a single-equipment, multiple-application framework for automated robot-car control systems, published in 2019 and garnering 19 citations — a strong indicator of its relevance to the robotics and automation community. This work tackles the growing complexity of vehicle-controlling systems by enabling users to direct vehicles through demonstration rather than technical instruction. Complementing this, his Arduino-based gesture recognition system, which has accumulated 8 citations, explores how hand gestures and mobile applications can eliminate the need for manual vehicle control, effectively bridging the gap between physical human movement and digital machine response. By leveraging accessible hardware platforms like Arduino, Abubaqr champions cost-effective, user-friendly automation solutions. His research holds particular value for students, engineers, and developers working on assistive technologies, autonomous systems, and next-generation human-machine interfaces.