Longjie
Papers
1
Total Citations
3
H-Index
1
About
Longjie’s research centers on the control and stabilization of nonholonomic mobile robots, with a particular focus on visual servo systems. His major contribution lies in developing predictive control strategies that address critical practical constraints—such as visibility limitations and actuator restrictions—often overlooked in earlier approaches. His most cited work, “Predictive Control for Visual Servo Stabilization of Nonholonomic Mobile Robots” (2013, 3 citations), introduces a kinematic predictive controller to generate velocity commands and a dynamic predictive controller to asymptotically match the robot’s actual velocity to the desired one. This dual-layer design enables the system to handle real-world limitations effectively, making the controller more feasible for practical applications. The paper’s simulations demonstrate the robustness and efficacy of the proposed method, marking a step forward in visual servo stabilization. While his citation count is modest, Longjie’s work is notable for bridging theoretical control design with real-world implementation challenges, offering a practical framework that can inspire further research in mobile robotics and predictive control.
Research Focus
Key Achievements
Top Papers
- 1