Papers
2
Total Citations
7
H-Index
2
About
Jinghan Yi’s research lies at the intersection of mobile robotics, intelligent control systems, and industrial automation, with a focus on enhancing robot autonomy in both known and uncertain environments. In their most cited work, Yi introduced a novel robust hybrid controller for wheeled mobile robots, combining Mixed H₂/H∞ and model predictive control (MPC) to address path tracking challenges under kinematic disturbances. This approach, which has garnered 5 citations, offers a practical solution for improving trajectory accuracy and stability in non-holonomic systems—a critical step toward safer, more reliable autonomous navigation. More recently, Yi has turned attention to humanoid welding robot manipulators, authoring a comprehensive review that bridges fundamental trajectory planning methods with real-world intelligent manufacturing applications. This forward-looking synthesis, already cited twice, underscores Yi’s ability to connect theoretical control advances with pressing industrial needs. By tackling both mobile and manipulator robot control, Yi contributes to the broader goal of seamless human-robot collaboration in smart factories. Their work is particularly valuable for researchers and engineers seeking robust, implementable control strategies for next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
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