Papers
12
Total Citations
451
H-Index
9
About
Zhongqin Lin is a leading figure in robotics and mechanisms, whose work has fundamentally advanced the kinematic calibration and performance analysis of robotic systems. His primary research areas include robot calibration, screw theory, stiffness modeling, and the mechanics of manufacturing processes. Lin's most significant contribution is the development of complete, minimal, and continuous error models for both serial and parallel manipulators using the product of exponentials (POE) formula. His seminal 2014 paper on identifying identifiable parameters in robot calibration has garnered 173 citations, providing a rigorous analytical framework that eliminates redundant parameters and enhances calibration accuracy. This work, along with his 2017 paper on parallel manipulator error models (94 citations), has become foundational for precision robotics. Lin also made notable contributions to stiffness theory, including the principal axes decomposition of spatial stiffness matrices (77 citations), which offers coordinate-invariant insights into compliant behavior. His research extends to practical applications, such as friction stir blind riveting for aluminum alloys and the performance analysis of forging robots, demonstrating the real-world impact of his theoretical work. Through his innovative use of screw theory and modular Jacobian calculations, Lin has established himself as a key innovator in mechanism design and robotic accuracy.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3The Principal Axes Decomposition of Spatial Stiffness Matrices77 citations · 2015
- 4
- 5
- 6
- 7
- 8
- 9
- 10