Hongli Bai

Papers

Total Citations

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About

Hongli Bai is a researcher specializing in robotics and control systems, with a particular focus on the trajectory-tracking control of wheeled mobile robots. Their most cited work, "Model Predictive Visual Trajectory-Tracking Control of Wheeled Mobile Robots" (2019), introduces an innovative model predictive control (MPC)-based method for visual-based navigation. This paper addresses the challenge of enabling differential wheeled mobile robots to follow desired paths using fixed camera systems, establishing both kinematic and visual error models to enhance precision and stability. With 6 citations, this contribution has laid groundwork for advancing autonomous navigation in constrained environments. Bai’s research bridges computer vision and control theory, offering practical solutions for real-world robotic applications. Their work is particularly notable for integrating predictive algorithms with visual feedback, a critical step toward more adaptive and reliable mobile robots. For students and researchers exploring autonomous systems, Bai’s studies provide a clear framework for tackling trajectory-tracking challenges, making their contributions a valuable reference in the evolving field of mobile robotics.