Papers
1
Total Citations
4
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1
About
Qingwu Liao is a researcher in robotics and control systems, with a primary focus on the dynamic feedback control of nonholonomic mobile robots. His most cited work, "Dynamic Feedback Tracking Control of Nonholonomic Mobile Robots with Unknown Camera Parameters" (2008), addresses a critical challenge in autonomous navigation: enabling robots to track trajectories reliably even when visual sensor parameters are uncertain. This contribution is foundational for vision-based robot control, bridging the gap between theoretical control design and practical implementation in environments where calibration is difficult. While his citation count of 4 reflects a specialized but impactful niche, Liao’s work is notable for its rigorous integration of nonlinear control theory with real-world sensor constraints—a key step toward robust autonomous systems. His research continues to influence developments in mobile robotics, particularly in adaptive and feedback control strategies that enhance robot autonomy in unstructured settings.
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Top Papers
- 1