Papers
2
Total Citations
25
H-Index
2
About
Xiaoyi Hu is a robotics researcher whose work centers on the intersection of intelligent control, motion prediction, and human-robot interaction, with a particular emphasis on dynamic ball sports. Hu’s major contributions lie in advancing the autonomy of table tennis robots, moving beyond basic position control to address the complex challenges of velocity regulation and opponent behavior anticipation. In their highly cited 2021 work, “Model-Based Trajectory Prediction and Hitting Velocity Control for a New Table Tennis Robot” (19 citations), Hu introduced a novel framework that integrates a tailor-made mechanical design with model-based control to achieve precise ball-striking velocity, a critical step toward realistic rally play. Building on this, their 2023 study, “Opponent Hitting Behavior Prediction and Ball Location Control for a Table Tennis Robot” (6 citations), pioneered the incorporation of opponent hitting behavior prediction into the robot’s control loop, significantly improving hitting accuracy in interactive settings. This work is notable for bridging the gap between reactive robotics and predictive, opponent-aware systems. With a growing citation record, Hu is establishing a reputation for creating robots that can engage in fluid, adaptive play, laying the groundwork for future applications in assistive and competitive robotics.
Research Focus
Key Achievements
Top Papers
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