Yingjie Xi
Papers
2
Total Citations
87
H-Index
2
About
Yingjie Xi is a pioneering researcher in robotics, whose work has fundamentally advanced the field of uncalibrated hand-eye coordination for robotic systems. His primary research areas encompass visual servoing, nonlinear control systems, and adaptive robotic manipulation. Xi’s most significant contribution is his development of a task-independent, system-agnostic framework for uncalibrated hand-eye coordination, as detailed in his highly influential 2004 paper (69 citations). This work introduced an innovative method using an extended state observer to model unknown hand-eye relationships as dynamic system errors, eliminating the need for tedious calibration. He further extended this paradigm with a nonlinear visual mapping model for 3-D visual tracking in eye-in-hand robotic systems (18 citations), which cleverly balances computational efficiency with robust online control using an artificial neural network. These contributions have provided a foundational, practical solution for robots operating in unstructured environments, enabling more flexible and autonomous visual-motor coordination. Xi’s research remains a cornerstone for modern work in adaptive robotics, demonstrating how elegant control theory can solve complex, real-world manipulation challenges.
Research Focus
Key Achievements
Top Papers
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