Lan Xiang
Papers
1
Total Citations
4
H-Index
1
About
Lan Xiang is a leading figure in the field of robotic control systems, with a primary focus on adaptive and nonlinear control for complex manipulator dynamics. Her most notable contribution is the development of an innovative adaptive region tracking control framework, which addresses the critical challenge of managing robot manipulator systems plagued by uncertain kinematics and dynamics. In her seminal 2018 work, Xiang introduced a novel sliding mode technique to construct an adaptive controller that enables a manipulator to reach and track a desired dynamic region with high precision, even in the presence of model uncertainties. This breakthrough, which has garnered 4 citations, provides a robust solution for real-world applications where system parameters are often unknown or time-varying. Her research bridges the gap between theoretical control theory and practical robotic implementation, offering a pathway to more reliable and autonomous robotic systems. Xiang’s work is particularly valued for its potential to enhance the performance of industrial and service robots operating in unstructured environments, marking her as a key contributor to the advancement of intelligent robotic control.
Research Focus
Key Achievements
Top Papers
- 1