Ying-Jie Jhao

Papers

Total Citations

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About

Ying-Jie Jhao is a robotics and automation researcher whose work centers on the development of intelligent manufacturing systems, robotic automation, and computer vision applications in industrial settings. Operating at the intersection of mechanical engineering and smart factory design, Jhao has made meaningful contributions to the advancement of Industry 4.0 technologies, particularly in the areas of mobile robotics, automated workstations, and vision-guided systems. Jhao's most recognized work, "Development of Mobile Robot with Vision Inspection System and Three-Axis Robot" (2018), has garnered 12 citations and demonstrates a practical approach to solving real-world challenges in automated production lines — integrating transportation, gripping, and object identification into a unified mobile platform. This work reflects a broader commitment to bridging the gap between theoretical robotics and deployable industrial solutions. Subsequent contributions, including research on intelligent robotic arm workstations and automated gluing and assembly systems, further underscore a consistent focus on upgrading competitive manufacturing infrastructure. Though still building a citation profile, Jhao's research addresses timely and critical needs in modern manufacturing, offering practical frameworks that support the global transition toward fully automated, intelligent production environments. Their work holds particular relevance for engineers and researchers pursuing applied robotics solutions.