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About

Tsung-Han Tsai is a researcher whose work spans robotics, computer vision, and educational technology, with a particular focus on developing intelligent systems that bridge human-machine interaction. His most significant contribution lies in the domain of human-following mobile robots, where he has pioneered robust real-time tracking algorithms utilizing stereo and binocular cameras capable of detecting and following specific individuals across diverse indoor and outdoor environments. His 2021 paper on this topic has garnered 24 citations, reflecting strong community interest in practical robotic perception systems. Building on this foundation, his earlier 2018 work laid the groundwork for these advancements, demonstrating a sustained research trajectory in autonomous robot navigation. Beyond robotics, Tsai has made notable contributions to educational technology, proposing an interactive robot-hosted digital learning theater designed to enhance student participation in drama-based classrooms, a creative interdisciplinary achievement that has earned 12 citations. His portfolio further extends into industrial applications, including an automated optical inspection system for wire color sequence detection, addressing real-world manufacturing quality control challenges. Collectively, Tsai's research reflects a versatile and application-driven approach to intelligent systems, making meaningful impacts across robotics, education, and industrial automation.