Shaohua Luo
Papers
1
Total Citations
16
H-Index
1
About
Dr. Shaohua Luo is a leading researcher in the field of mobile robotics and intelligent control systems, with a particular focus on enhancing the autonomy and robustness of wheeled mobile robots. His most cited work, "Wheeled Mobile Robot RBFNN Dynamic Surface Control Based on Disturbance Observer" (2014, 16 citations), addresses a critical challenge in robotics: maintaining precise control under uncertain parameters and unknown external disturbances. In this seminal paper, Dr. Luo pioneered the integration of a Radial Basis Function Neural Network (RBFNN) with dynamic surface control, coupled with a nonlinear disturbance observer. This innovative approach allows robots to dynamically compensate for environmental perturbations, significantly improving trajectory tracking and stability in real-world, unpredictable settings. His contributions are foundational for advancing the practical deployment of mobile robots in complex terrains, from industrial automation to search-and-rescue operations. By bridging adaptive neural network theory with robust control engineering, Dr. Luo has provided a powerful framework that continues to inspire subsequent research in intelligent, disturbance-rejecting robotic systems.
Research Focus
Key Achievements
Top Papers
- 1