Weidong Luo

University of Science and Technology Beijing, Beijing University of Technology

Papers

Total Citations

144

H-Index

About

Weidong Luo is a leading researcher in the field of mobile robotics, with a primary focus on path tracking control and vehicle dynamics. His work centers on developing advanced control strategies to enhance the safety and precision of wheeled mobile robots, particularly under challenging conditions. Luo’s major contributions lie in the application of Model Predictive Control (MPC) for path tracking, where he has pioneered methods to address the critical issue of sideslip during high-speed turns—a problem often overlooked in the field. His most cited paper, "Review and Comparison of Path Tracking Based on Model Predictive Control" (2019, 71 citations), provides a comprehensive analysis of MPC-based controllers, establishing a foundational reference for the community. This is complemented by his work on dynamic prediction models (54 citations) and fuzzy MPC for anti-sideslip control (19 citations), which directly tackle real-world safety risks. Luo’s research is notable for bridging theoretical control design with practical robot mobility, earning recognition for solving a dangerous and understudied problem. His work is essential reading for students and engineers advancing autonomous navigation systems.