Position Control

Position control, the precise manipulation of an object's location, is a core challenge across diverse fields, aiming to achieve accurate and stable positioning despite uncertainties and disturbances. Current research emphasizes robust control strategies, incorporating techniques like control barrier functions for safety, adaptive preload control for enhanced stiffness and responsiveness, and reinforcement learning for complex systems like acoustic cavitation bubbles. These advancements are improving the performance and reliability of position control in applications ranging from robotic manipulation and autonomous vehicles to medical devices and industrial automation.