Ying‐Che Kuo

National Chin-Yi University of Technology

Papers

Total Citations

H-Index

About

Ying-Che Kuo is a robotics researcher whose work spans industrial automation, service robotics, and underwater vehicle control. His research focuses on integrating computer vision, sensor technologies, and intelligent control systems to enhance robotic autonomy and functionality. Kuo’s most impactful contribution is his 2019 paper on an image vision and automatic calibration system for universal robots (9 citations), which addresses the growing demand for cost-effective automation in manufacturing by enabling robotic arms to perform precise tasks without manual recalibration. In 2014, he developed a tour guide robot system (8 citations) that combines RFID technology with Viterbi algorithm-based HMM for speech recognition, demonstrating how mobile robots can interact with humans through voice control and location-aware guidance. His 2017 work on visual servo control for underwater robot station-keeping (2 citations) tackles the challenge of maintaining stability in deep-water environments, using fuzzy-PID controllers to counteract disturbances from water flow. Kuo’s research is notable for its practical applications, from factory floors to underwater exploration, and his citation record reflects a growing interest in his innovative approaches to robotic calibration, human-robot interaction, and environmental adaptability.