K. A. Zakaria
Papers
1
Total Citations
26
H-Index
1
About
K. A. Zakaria is a researcher in robotics and human-robot interaction, with a focus on developing socially aware machines. Their most cited work, "The design of face recognition and tracking for human-robot interaction" (2017, 26 citations), introduces SyPEHUL—a humanoid robot that integrates physics, electronics, and machine learning to recognize and track human faces. This system employs Cascade Classification and Local Binary Pattern Histogram (LBPH) algorithms, enabling real-time, adaptive interaction. By prioritizing natural, non-verbal communication, Zakaria’s work advances the field of assistive and social robotics, where robots must perceive and respond to human cues. The SyPEHUL platform serves as a foundation for further studies in human-robot collaboration, particularly in contexts requiring intuitive engagement. Zakaria’s contributions demonstrate how combining computer vision with robotic hardware can create more responsive, human-centered systems, making their research valuable for students and engineers exploring the intersection of AI, perception, and embodied interaction.
Research Focus
Key Achievements
Top Papers
- 1The design of face recognition and tracking for human-robot interaction26 citations · 2017