Yili
Papers
1
Total Citations
3
H-Index
1
About
Yili is a robotics researcher whose work focuses on predictive control strategies for mobile robotic systems, particularly addressing the challenging problem of visual servo stabilization for nonholonomic mobile robots. Their key contributions lie in developing advanced control frameworks that overcome practical limitations often ignored in theoretical treatments—namely, visibility constraints and actuator limitations. Yili’s most cited work, “Predictive Control for Visual Servo Stabilization of Nonholonomic Mobile Robots” (2013, 3 citations), introduces a two-tier predictive controller: first, a kinematic predictive stabilizer generates velocity commands, followed by a dynamic predictive controller that asymptotically drives the robot’s actual velocity to the desired value. This approach enables the system to handle constraints effectively, making it more applicable to real-world scenarios. While Yili’s citation count is modest, their work represents a meaningful step toward bridging the gap between theoretical control design and practical implementation in mobile robotics. Their research is particularly valuable for students and engineers working on vision-based robot navigation, offering a principled method for achieving stable, constrained visual servoing in nonholonomic platforms.
Research Focus
Key Achievements
Top Papers
- 1