Phansak Nerakae

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About

Phansak Nerakae is a researcher whose work sits at the intersection of machine vision, robotics, and intelligent manufacturing automation. His key contributions focus on developing flexible automatic assembly systems—a critical innovation for high-mix, low-volume production lines that dominate modern manufacturing. His most cited paper, "Using Machine Vision for Flexible Automatic Assembly System" (2016), has garnered 48 citations, reflecting its foundational role in integrating visual perception with robotic pick-and-place operations. In this work, Nerakae designed a primary prototype that combines machine vision with robotic control, enabling systems to adapt to varying product geometries without manual reprogramming. This research addresses a core challenge in Industry 4.0: how to make automation both precise and adaptable. By demonstrating how vision-guided robots can handle part recognition, positioning, and assembly in real time, Nerakae has contributed practical solutions for reducing setup times and increasing production flexibility. His work is particularly valuable for students and engineers exploring the convergence of computer vision and robotics in smart factories, offering a clear pathway from concept to functional prototype.