Yoshiyasu Sugiyama

Papers

Total Citations

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About

Yoshiyasu Sugiyama is a pioneering researcher in the field of robotic manipulation and dynamic control, with a specific focus on real-time visual servoing and dexterous object handling. His most influential work centers on the challenging problem of paddle juggling—using a robot manipulator to repeatedly strike a ball mid-air, a task that demands precise coordination between high-speed vision and motion control. Sugiyama’s major contribution lies in developing a method that eliminates the need for predicting the ball’s landing point, instead relying on iterative, vision-based adjustments to maintain the juggling cycle. This approach, detailed in his most-cited paper "Paddle Juggling of one Ball by Robot Manipulator with Visual Servo" (2006, 27 citations), introduces a dual-problem framework: preserving the juggling rhythm and regulating the ball’s position. His follow-up work (2008) further refines this system, demonstrating robust, real-time performance without fall-point prediction. While his citation counts reflect a niche but impactful area, Sugiyama’s research is notable for advancing the intersection of visual feedback and dynamic manipulation, offering foundational insights for applications in robotic sports, automated assembly, and human-robot interaction. His work remains a key reference for engineers tackling high-speed, sensor-driven control challenges.