Wen Chung Chang

National Taipei University of Technology

Papers

Total Citations

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About

Wen Chung Chang is a robotics and computer vision researcher whose work centers on intelligent automation systems, with a particular focus on robotic manipulation and active vision technologies. His most recognized contribution is the development of an automated bin-picking system that leverages active vision to enable robots to identify and retrieve randomly distributed objects — in this case, plumbing parts — from unstructured environments. This research addresses one of the longstanding challenges in industrial robotics: enabling machines to handle the variability and disorder inherent in real-world manufacturing settings. By employing a single eye-in-hand system combined with structured light projection, Chang's approach demonstrated a practical and elegant solution to object recognition and pose estimation in cluttered scenes. While his published work in this area is still accumulating citations, the practical implications of his research extend to manufacturing automation, logistics, and flexible robotic assembly lines. Chang's contributions reflect a broader commitment to bridging the gap between theoretical computer vision and deployable industrial robotics, making his work particularly relevant for students and engineers pursuing careers in smart manufacturing and autonomous systems.