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About

Dr. Szu-Yueh Yang is a pioneering researcher at the intersection of Artificial Intelligence, robotics, and human-centered automation, with a focus on advancing the principles of Industry 4.0 and Society 5.0. Her work is distinguished by the development of intelligent systems that enhance efficiency and quality of life. A major contribution is her proposal of an Artificial Intelligence of Things (AIoT)-based automated picking algorithm for online shops, which has garnered 29 citations and addresses the critical need for speed in modern logistics. Dr. Yang has also made significant strides in machine vision, creating algorithms for object localization and depth estimation using a single camera for eye-in-hand manipulators (21 citations), and developing a self-correction robotic grasping system using action learning. Notably, she applies her expertise to socially impactful projects, such as designing a Chinese Chess robotic system for the elderly using Convolutional Neural Networks (12 citations), a tool to combat cognitive decline. Through her innovative integration of deep learning and robotics, Dr. Yang is shaping a future where technology seamlessly supports both industrial automation and human well-being.