Our Research
We explore the dynamics, control, and intelligence of future mobility systems—from fundamental modeling and control theory to real-time implementation and full-vehicle validation. Our research aims to create safer, smarter, and more human-centered mobility by connecting motion, intelligence, and emotion.
- Vehicle Dynamics & Chassis Control
- Autonomous Driving Control
- Control Theory
- Human-Centric Mobility
- Real-time Implementation, Validation & Optimization
Vehicle dynamics and chassis system modeling, vehicle state and parameter estimation, and integrated control of steering, braking, and suspension systems to enhance driving stability, safety, ride comfort, and overall vehicle performance.
Vehicle dynamics-based motion planning and longitudinal–lateral control for autonomous vehicles, with a focus on robust path tracking, driving stability, and defensive safety control under complex and uncertain driving conditions.
Research on fundamental and advanced control theories, including robust, optimal, predictive, adaptive, and AI-based control, for analyzing and controlling complex dynamical systems under uncertainties and disturbances.
Human-factor analysis and personalized mobility control considering driver and occupant characteristics, physiological and behavioral responses, and user acceptance to improve safety, comfort, and emotional satisfaction in future mobility systems.
Real-time implementation, experimental validation, and performance optimization of mobility control systems through model-, software-, and hardware-in-the-loop simulation, ultimately extending to full-vehicle integration and real-world testing.