Yang Shu-nian
Papers
1
Total Citations
316
H-Index
1
About
Yang Shu-nian is a leading figure in robotics, whose work has fundamentally advanced the field of robot calibration and kinematic modeling. His primary research areas include serial-robot calibration, kinematic parameter identification, and precision engineering. Yang’s most significant contribution is his pioneering use of the product of exponentials (POE) formula to create a generic error model for serial robots. In his highly influential 2010 paper, which has garnered over 316 citations, he demonstrated that errors in all joint twists are identifiable, solving a long-standing challenge in robot accuracy. This breakthrough has provided a robust theoretical foundation for improving the precision of industrial robots. Beyond this seminal work, Yang’s research continues to shape modern robotics by enabling more reliable and accurate automation systems. His achievements are widely recognized in the robotics community, and his methodologies are now standard references for engineers and researchers working on robot calibration and performance optimization.
Research Focus
Key Achievements
Top Papers
- 1