Tianlong
Papers
1
Total Citations
3
H-Index
1
About
Tianlong is a robotics researcher whose work focuses on the predictive control and visual servo stabilization of nonholonomic mobile robots. His most-cited paper, "Predictive Control for Visual Servo Stabilization of Nonholonomic Mobile Robots" (2013), addresses a critical challenge in robotics: designing controllers that can handle both visibility constraints and actuator limitations in real-world applications. Tianlong’s major contribution lies in developing a two-tier predictive control framework—first a kinematic controller to generate velocity commands, then a dynamic controller to asymptotically match the robot’s actual velocity to the desired trajectory. This approach effectively manages system constraints, enabling more practical and reliable performance in visual servo stabilization. With 3 citations, his work has influenced subsequent research in constrained robot control. Tianlong’s achievements include demonstrating through simulations that his predictive control scheme outperforms existing methods in handling real-world limitations, making his research valuable for students and engineers working on mobile robot navigation and vision-based control systems.
Research Focus
Key Achievements
Top Papers
- 1