Yeqing Yuan
Papers
2
Total Citations
122
H-Index
2
About
Yeqing Yuan is a leading researcher in robotics, specializing in kinematic calibration, dynamic identification, and control of serial and redundant manipulators. His major contributions include developing an integrated method that simultaneously identifies kinematic and dynamic parameters using only static measurements—a breakthrough that simplifies experimental procedures while enhancing robot accuracy. This work, published in 2023, has already garnered 61 citations, reflecting its immediate impact on the field. Yuan also advanced passivity-based hierarchical multi-task tracking control for redundant manipulators operating under uncertainties, achieving robust performance in complex tasks. His research addresses critical challenges in robot precision and adaptability, with applications in manufacturing, automation, and human-robot collaboration. With over 120 cumulative citations and growing recognition, Yuan’s innovative approaches to calibration and control are shaping the next generation of intelligent robotic systems. His work is essential reading for students and researchers seeking practical, theory-driven solutions to real-world robotics problems.
Research Focus
Key Achievements
Top Papers
- 1
- 2