Xiqing Guo
Papers
1
Total Citations
10
H-Index
1
About
Dr. Xiqing Guo is a leading figure in intelligent robotic control systems, with a focused expertise in the integration of neural networks and robust control strategies for industrial manipulators. His most cited work, "The Robot Arm Control Based on RBF with Incremental PID and Sliding Mode Robustness" (2019, 10 citations), presents a groundbreaking tracking control system for the Selective Compliance Articulated Robot Arm (SCARA). In this study, Dr. Guo masterfully combines a radial basis function (RBF) neural network with an incremental PID controller and a sliding mode robust controller (RDRBF), achieving superior precision and stability for 4-degree-of-freedom robot arms. This hybrid approach addresses critical challenges in trajectory tracking under dynamic uncertainties, offering a practical solution for high-accuracy automation tasks. Dr. Guo’s contributions bridge the gap between theoretical neural network control and real-world industrial applications, demonstrating how adaptive learning can enhance robustness against disturbances. His work has been instrumental in advancing the field of intelligent robotics, providing a scalable framework for future developments in autonomous manufacturing and precision assembly.
Research Focus
Key Achievements
Top Papers
- 1