Guangming Liu
Papers
1
Total Citations
2
H-Index
1
About
Guangming Liu is a researcher working at the intersection of structural dynamics, robotics, and computational mechanics, with a particular focus on finite element modeling and system identification. His work addresses the critical challenge of model accuracy in complex mechanical systems — a foundational concern for both simulation reliability and real-world engineering applications. Liu's most recognized contribution involves the development of a sensitivity analysis-based finite element model updating methodology applied to multi-degree of freedom robotic manipulators. Specifically, his 2017 study on a 5-DOF manipulator demonstrated how combining experimental modal analysis with computational finite element methods can systematically reduce discrepancies between theoretical models and physical systems. This work is particularly significant given the rapid growth of robotic manipulator applications across manufacturing, medicine, and automation sectors. While still building his citation profile — with his key work accumulating 2 citations — Liu's research tackles problems of genuine practical importance. Accurate dynamic modeling of manipulators underpins advances in control system design, structural optimization, and predictive maintenance. Students and researchers working in robotics, structural health monitoring, or mechanical system simulation will find Liu's methodological approach a valuable reference for bridging the gap between computational models and physical reality.
Research Focus
Key Achievements
Top Papers
- 1