Papers
1
Total Citations
8
H-Index
1
About
Yuehui Yan is a researcher specializing in robotics and adaptive control systems, with a particular focus on space robotics and manipulator dynamics. Her work addresses critical challenges in autonomous control for multi-joint manipulators operating in space environments, where model uncertainties and external disturbances pose significant difficulties. Yan's most cited paper, "Adaptive optimal tracking control for multi‐joint manipulator on space robot" (2020), introduces a novel Gauss-Newton interactive optimization algorithm to compute desired joint angles and achieve precise tracking control. This contribution has garnered 8 citations, reflecting its relevance to advancing autonomous robotic operations in space. Her research integrates adaptive control theory with optimization techniques, offering practical solutions for improving the accuracy and robustness of space manipulators. Yan's work is particularly valuable for applications in satellite servicing, space station maintenance, and future deep-space exploration missions, where reliable robotic manipulation is essential. Her achievements demonstrate a strong commitment to solving real-world engineering problems at the intersection of control theory and space robotics.
Research Focus
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Top Papers
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