Cyuan-Fan Syu

National Taipei University of Technology

Papers

Total Citations

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About

Cyuan-Fan Syu is a researcher specializing in robotics, control systems, and machine learning, with a particular focus on dynamic ball manipulation and precision landing control. Their major contributions center on developing intelligent control methods for robotic ping-pong systems, addressing the complex challenge of returning spinning balls to desired landing points—a problem that requires sophisticated modeling of aerodynamics, spin, and collision dynamics. Notably, Syu proposed a novel racket control method using recurrent neural networks, moving beyond traditional physical model-based approaches to achieve more robust and adaptive control. This work, published in 2019, has garnered 2 citations and laid the groundwork for subsequent studies. In their 2024 follow-up, Syu further refined the system by integrating camera-based sensing to improve landing accuracy, demonstrating continued innovation in the field. While their citation counts are still growing, Syu’s research represents a meaningful step forward in robotic dexterity and real-time control, offering valuable insights for students and researchers interested in the intersection of robotics, neural networks, and dynamic motion planning.