Chiou Kou Tung

National Chin-Yi University of Technology

Papers

Total Citations

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About

Dr. Chiou Kou Tung is a researcher in robotics and automation, with a focus on service-oriented robotic systems and intelligent path planning. His work addresses the core challenges of autonomous navigation, particularly for cleaning machines, by integrating image recognition techniques with advanced positioning methods. His most-cited paper, "The Cleaning Machine Path Design Using Image Recognition Techniques" (2014), explores automatic global path planning, combining local and global positioning, route planning, and tracking. The study introduces methods such as double-round positioning, three-point positioning, and cross-ratio positioning to enhance navigation accuracy and efficiency. Although his citation count is modest, Dr. Tung’s contributions are foundational to the development of practical, cost-effective autonomous cleaning systems. His research bridges computer vision and robotics, offering solutions that improve the reliability and intelligence of service robots in real-world environments. Dr. Tung’s work remains relevant for engineers and researchers advancing automation in domestic and industrial settings.