Nurul Azma Zakaria

Papers

Total Citations

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About

Nurul Azma Zakaria is a researcher whose work lies at the intersection of human-robot interaction and autonomous navigation. Her primary research areas include human emotional state detection in collaborative robotics and visual feature-based motion control for mobile robots. In her most cited work, "Investigation of Human Emotional State in Human-Robot Collaboration" (2014, 8 citations), Zakaria explores how robots can interpret human emotional responses to facilitate more intuitive and effective interactions—a critical capability as robots become increasingly integrated into human environments. Her second notable paper, "Visual Features Based Motion Controller for Mobile Robot Navigation" (2020, 4 citations), advances the field of autonomous navigation by developing vision-driven control systems. While her citation counts reflect a focused and emerging career, Zakaria’s contributions address fundamental challenges in making robots both perceptive of human states and capable of navigating complex environments. Her work is particularly relevant for researchers interested in affective computing, collaborative robotics, and vision-based control systems, offering foundational insights into how robots can better understand and respond to the humans they work alongside.