Wen Guang
Papers
1
Total Citations
2
H-Index
1
About
Wen Guang is a researcher specializing in robotics and control systems, with a particular focus on teleoperation and bilateral servo control for extreme environments. His work addresses the critical challenge of enabling precise, force-reflective manipulation in hazardous settings such as space, deep sea, and radioactive zones. His most-cited paper, "RBF Neural Network PID for Bilateral Servo Control System" (2013), introduces an innovative approach that integrates radial basis function neural networks with PID control to enhance the performance and stability of master-slave robotic systems. Although his citation count is modest—with this key paper garnering 2 citations—the work represents a foundational step in applying adaptive neural control to teleoperated hydraulic systems. Wen Guang’s contributions are notable for their practical relevance to remote manipulation tasks where human dexterity must be extended across vast distances or through hostile barriers. His research continues to inform developments in haptic feedback and autonomous control, making him a dedicated figure in advancing robotic assistance for challenging operational domains.
Research Focus
Key Achievements
Top Papers
- 1RBF neural network PID for Bilateral Servo Control System2 citations · 2013