Jessnor Arif Mat Jizat

Universiti Malaysia Pahang Al-Sultan Abdullah

Papers

Total Citations

H-Index

About

Jessnor Arif Mat Jizat is a robotics and automation researcher whose work focuses on unmanned aerial vehicles, automated guided vehicles, and intelligent control systems. His most cited paper, "Modelling and PID Control of a Quadrotor Aerial Robot" (2014, 11 citations), provides foundational insights into quadrotor dynamics and attitude/altitude control using PID strategies, contributing to the development of stable hovering flight for aerial robots. In "A Comparison of Two Approaches for Collision Avoidance of an Automated Guided Vehicle Using Monocular Vision" (2011, 7 citations), he advanced autonomous navigation by comparing floor sampling and vision-based methods for obstacle detection, enhancing AGV safety and efficiency. His editorial work on "Advances in Robotics, Automation and Data Analytics" (2021) further underscores his role in synthesizing cutting-edge developments in the field. With a career spanning over a decade, Jizat’s research has practical implications for industrial automation, drone technology, and intelligent transport systems. His contributions are particularly valuable for students and researchers exploring control theory, computer vision, and autonomous systems, offering clear methodologies and comparative analyses that bridge theory and real-world application.