Hamza Alzarok

University of Huddersfield, Institute of Electronics

Papers

Total Citations

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About

Hamza Alzarok is a researcher whose work lies at the intersection of robotics, precision automation, and intelligent control systems. His primary research areas include 3D visual tracking for articulated robots, servo motor speed optimization, and the assessment of robotic positioning accuracy during machining. Alzarok’s most notable contribution is his pioneering work on 3D visual tracking systems for articulated robots in precision automated tasks, where he tackled the fundamental challenge of balancing high detection accuracy with adequate processing speed—a critical requirement for real-world industrial applications. This work, published in 2017, has garnered 9 citations, reflecting its relevance to advancing robotic vision. Additionally, his 2022 study on achieving optimum speed performance for DC servo motors using Fuzzy logic controllers demonstrates his commitment to enhancing motor efficiency for diverse applications, from small robots to electric vehicles. His earlier 2013 assessment of positioning accuracy in small articulated robots during machining operations further underscores his focus on precision. Alzarok’s research is particularly valuable for students and engineers seeking to improve the reliability and performance of automated systems in manufacturing and robotics.