Maryam Majeed

Dawood University of Engineering and Technology

Papers

Total Citations

H-Index

About

Maryam Majeed is a researcher whose work bridges robotics and human-computer interaction, with a focus on intuitive control systems for unmanned ground vehicles (UGVs). Her most-cited paper, "Kinect Controlled UGV" (2016), demonstrates a novel approach to teleoperation by leveraging Microsoft Kinect sensors for gesture-based control, enabling more natural and accessible human-robot interfaces. This work, garnering 4 citations, highlights her contribution to making robotic systems more user-friendly, particularly in applications where traditional joystick or keyboard controls are impractical. While her citation count is modest, the paper's interdisciplinary nature—combining computer vision, motion tracking, and mobile robotics—underscores her ability to integrate emerging technologies for practical solutions. Majeed’s research is particularly relevant for students and engineers exploring low-cost, off-the-shelf hardware for robotic control, and her work serves as a stepping stone for further innovations in gesture-driven automation. Her focus on accessibility and real-world usability positions her as a contributor to the growing field of human-robot collaboration, where intuitive interfaces are key to widespread adoption.