Pichitra Uangpairoj

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About

Pichitra Uangpairoj is a researcher whose work sits at the intersection of automation, machine vision, and intelligent manufacturing systems. Her primary research areas include flexible automatic assembly, robotic pick-and-place systems, and the integration of computer vision into industrial automation. Her most-cited work, “Using Machine Vision for Flexible Automatic Assembly System” (2016), has garnered 48 citations and stands as a foundational contribution to the field. In this study, she designed a primary prototype for a flexible automatic pick-and-place assembly system tailored for high-mix production lines, integrating a machine vision system with a robot to enhance adaptability and precision. This work addresses a critical challenge in modern manufacturing: the need for automation systems that can handle product variability without sacrificing speed or accuracy. Uangpairoj’s research is particularly notable for its practical, application-driven approach, bridging the gap between theoretical computer vision and real-world industrial robotics. Her contributions offer valuable insights for engineers and researchers developing next-generation flexible manufacturing systems, and her work continues to influence the design of adaptive, vision-guided automation solutions.