Trajectory Tracking

Trajectory tracking, the precise following of a predefined path by a system, is a crucial problem across robotics and autonomous systems, aiming to improve accuracy, robustness, and efficiency. Current research emphasizes developing advanced control strategies, such as nonlinear model predictive control (NMPC) and adaptive control methods, often integrated with machine learning techniques like deep reinforcement learning (DRL) and neural networks, to handle complex dynamics and uncertainties. These advancements are driving improvements in applications ranging from unmanned aerial vehicles (UAVs) and autonomous driving to soft robotics and assistive devices, impacting fields like precision agriculture, search and rescue, and healthcare.