Yashan Xing
Papers
6
Total Citations
36
H-Index
3
About
Dr. Yashan Xing is a leading researcher in industrial and collaborative robotics, specializing in the critical challenge of positioning accuracy. Her work addresses a fundamental bottleneck in precision manufacturing: the inherent inaccuracies that prevent robots from performing high-stakes tasks. Dr. Xing’s core contributions lie in kinematic calibration and error compensation. She has developed groundbreaking models for 3D measurement systems using redundant laser range sensors and advanced flexibility models based on the virtual joint approach to correct joint deformations under varying payloads. Her research has achieved significant impact, with her most-cited paper on 3D measurement system modeling accumulating 18 citations. Notably, Dr. Xing has pioneered solutions for multi-directional position accuracy variation in collaborative robots, a previously intractable problem, and has integrated deep learning methods to enhance visual measurement systems. Her work on finite-time adaptive observers further demonstrates her versatility in control theory. By systematically improving absolute positioning accuracy, Dr. Xing’s research is paving the way for industrial robots to transition from simple tasks to high-precision applications like machining and assembly.
Research Focus
Key Achievements
Top Papers
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- 5A fast calibration method of the tool frame for industrial robots2 citations · 2023
- 6Design of an Adaptive Observer with Finite-Time Convergence2 citations · 2024