Yaoqi Xian
Papers
2
Total Citations
22
H-Index
2
About
Yaoqi Xian is a robotics researcher whose work centers on the modeling, control, and fault diagnosis of robot manipulators. His most significant contribution addresses a fundamental challenge in robotics: efficiently solving the inverse kinematics (IK) of 6-DOF manipulators with offset wrists, a configuration that violates the classic Pieper criteria. His 2022 paper on this topic, which has garnered 20 citations, proposes an improved analytical method that enhances computational efficiency and accuracy, providing a practical solution for industrial robot control. More recently, Xian has pioneered a novel approach to incipient fault diagnosis by analyzing the evolution of friction characteristics in transmission components. His 2024 study experimentally tracks tribological behavior from cold start to thermal equilibrium, demonstrating how subtle changes in friction can serve as early indicators of mechanical degradation. This work bridges tribology and robotics, offering a predictive maintenance strategy that could significantly reduce downtime in automated manufacturing. With a growing citation record, Xian is establishing himself as a researcher who tackles both core theoretical problems and practical, industry-relevant challenges in robotic manipulation and reliability.
Research Focus
Key Achievements
Top Papers
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- 2