Xiaohui Zhao

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About

Xiaohui Zhao is an emerging researcher specializing in robotic welding automation, machine vision, and intelligent manufacturing systems. Their work focuses on advancing the precision and adaptability of robotic Gas Metal Arc Welding (GMAW) processes through the integration of computer vision, laser sensing, and real-time control technologies. Zhao's most notable contribution is the development of a real-time seam tracking system that employs an innovative extraction and restoration model, enabling robotic welding systems to dynamically detect and follow weld seams with exceptional accuracy — work that has already garnered 21 citations since its 2024 publication. Complementing this, their 2023 research introduced a versatile robotic welding system that seamlessly integrates laser positioning, trajectory fitting, and real-time tracking into a unified framework, earning 17 citations and demonstrating broad applicability across welding scenarios. Together, these contributions reflect Zhao's dedication to bridging the gap between theoretical sensing methodologies and practical industrial deployment. With a growing citation record and research centered on solving real-world manufacturing challenges, Zhao represents a promising voice in the field of intelligent robotic fabrication and automated quality control.