Xianqiang Zhang

Papers

Total Citations

H-Index

About

Xianqiang Zhang is a researcher whose work lies at the intersection of robotics, computer vision, and human-robot interaction. His most cited paper, “Human behavior imitation for a robot to play table tennis” (2012, 7 citations), explores how robots can learn complex motor tasks by observing and imitating human actions. In this study, Zhang developed a method to record and analyze video footage of human players, extracting racket trajectories to enable a robot to replicate table tennis strokes. This contribution addresses a fundamental challenge in robotics: transferring human dexterity and decision-making to machines in dynamic, real-time environments. While his citation count is modest, Zhang’s work is notable for its practical, application-driven approach to imitation learning—a field that has since become central to modern robotics. By focusing on a tangible, high-speed sport like table tennis, he demonstrated how robots can achieve fluid, adaptive behavior through visual observation alone. His research offers valuable insights for students and engineers interested in bridging the gap between human motion and robotic control, particularly in tasks requiring precision and timing.