Hai-Lin Chen
Papers
1
Total Citations
11
H-Index
1
About
Hai-Lin Chen is a robotics researcher whose work centers on the control and navigation of omnidirectional mobile robots (OMRs), with a particular focus on integrating advanced control theory with practical path planning. His most-cited paper, "MPC Control and Path Planning of Omni-Directional Mobile Robot with Potential Field Method" (2018, 11 citations), presents a novel approach that combines Model Predictive Control (MPC) with the potential field method to enable smooth, obstacle-aware navigation. By controlling three independent stepper motors, Chen’s system allows an OMR to move in any direction with high precision and adaptability. This work stands out for bridging real-time control optimization with reactive path planning—a key challenge in autonomous robotics. Though early in his citation impact, Chen’s contribution is notable for its practical implementation and clear methodology, making it a useful reference for researchers working on mobile robot autonomy, especially in constrained or dynamic environments. His research continues to influence developments in intelligent motion control and multi-agent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1