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.
Collision Avoidance
Fundamental capability for autonomous vehicles and ADAS, focused on predicting, avoiding, and mitigating potential collisions through dynamic risk assessment and real-time control.
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.
Regulatory and Functional Safety
Ensuring compliance with industry standards and achieving systematic safety for autonomous and ADAS systems.