Research Projects
My research focuses on developing and implementing advanced control strategies for autonomous systems, with particular emphasis on vehicle dynamics, trajectory optimization, and perception.
Linear Least Squares (LLS)
Fundamental technique for data fitting and parameter estimation in control systems and signal processing.
Linear Quadratic Regulator (LQR)
Advanced state-feedback control technique for optimal system performance in autonomous vehicles and robotics.
Model Predictive Control (MPC)
Predictive control strategy for complex autonomous systems with constraints and multiple objectives.
Motion Planning
Algorithms for generating safe, efficient, and feasible paths for autonomous vehicles in complex environments.
Vehicle Dynamics
Analysis and control of vehicle dynamics for enhanced stability and performance.
Trajectory Optimization
Advanced algorithms for optimal trajectory generation in autonomous systems.
Vehicle Routing
Efficient algorithms for optimal route planning in autonomous vehicle fleets.
Perception
Advanced sensing and perception techniques for autonomous systems.
Convex Optimization
Powerful mathematical framework for solving a wide range of control and decision-making problems in autonomous systems.