Yuan‐Fu Liao

National Taipei University of Technology

Papers

Total Citations

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About

Yuan-Fu Liao is a leading researcher in human-robot interaction and spoken dialogue systems, with a focus on integrating advanced speech technologies into educational robotics. His key contributions lie in developing voice-enabled control platforms for mobile robots, exemplified by his 2019 work on a spoken dialogue-based remote control system for an educational mobile robot equipped with Mecanum wheels. This paper, which has garnered 2 citations, details a novel human-robot interaction model that leverages deep neural networks for both cloud- and edge-based speech recognition, enabling more intuitive and responsive robot control. Liao’s research bridges the gap between natural language processing and robotics, offering practical solutions for real-world educational applications. His work is particularly notable for its emphasis on real-time, dialogue-driven interfaces that enhance user engagement and accessibility. By combining cutting-edge speech recognition with versatile robotic platforms, Liao has laid the groundwork for more interactive and autonomous learning tools. His achievements reflect a commitment to advancing human-centered technology, making him a valuable contributor to the fields of robotics and artificial intelligence.