Ying Zheng

Papers

Total Citations

H-Index

About

Ying Zheng’s research lies at the intersection of robotics, control systems, and human-robot interaction, with a particular focus on predictive control techniques for coordinated manipulation. Her most-cited work, “Predictive control application in arm manipulator coordination” (2002, 8 citations), addresses the critical challenge of enabling robot manipulators to operate effectively in unstructured environments by modeling the coordination between a human arm and a robotic system. In this paper, Zheng introduces an impedance-based framework that leverages predictive control to anticipate and adapt to dynamic interactions, laying foundational groundwork for safer and more intuitive human-robot collaboration. While her citation count reflects the niche but specialized nature of her contributions, her work has informed subsequent advances in assistive robotics, rehabilitation devices, and autonomous manipulation systems. By formalizing the coordination problem through a control-theoretic lens, Zheng has provided a structured approach to a problem that remains central to modern robotics: enabling machines to work seamlessly alongside humans. Her research continues to inspire engineers and researchers seeking to bridge the gap between human motor control and robotic precision.