Daigo Ito

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About

Daigo Ito is a robotics researcher whose work centers on real-time motion planning and dynamic interaction in robotic systems, with a particular focus on high-speed ball sports. His most notable contribution is in the domain of table tennis robotics, where he developed an online trajectory planning method for a robot to strike a spinning ball. This work, published in 2014 and cited 11 times, addresses the complex challenge of predicting a ball’s trajectory and determining the optimal racket strike point in real time, factoring in rebound dynamics. Ito’s research bridges control theory and practical robotics, enabling robots to perform precise, reactive movements in unpredictable environments. His achievements highlight the integration of sensor feedback and predictive algorithms, advancing the field of robotic manipulation and human-robot interaction in sports. Through this work, Ito has laid groundwork for future developments in autonomous systems that require rapid, adaptive decision-making.