Abdullah Gulraiz
Papers
1
Total Citations
2
H-Index
1
About
Abdullah Gulraiz is a researcher at the intersection of human-robot interaction and computer vision, with a primary focus on modeling human motion for intuitive, user-centered robotic applications. His most cited work, "Human Head Motion Modeling Using Monocular Cues for Interactive Robotic Applications" (2019), introduces generalized 2D trajectory models for human head motion during walking and running. By leveraging monocular cues to map these trajectories, Gulraiz enables robots to compute instantaneous displacement and velocity, a critical step toward more responsive and natural human-robot collaboration. This contribution is foundational for designing interactive systems that anticipate and adapt to human movement in real-time. While his citation count is still growing—a common stage for early-career researchers—the work stands out for its practical approach to a challenging perception problem. Gulraiz’s research holds promise for advancing assistive robotics, autonomous navigation, and immersive human-computer interfaces, marking him as a developing voice in the field of embodied AI and motion analysis.
Research Focus
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Top Papers
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