Flexible Manipulator

Flexible manipulators, robots with elastic links, offer advantages in speed and energy efficiency compared to rigid counterparts, but their inherent flexibility poses control challenges. Current research focuses on developing robust control strategies, often employing artificial neural networks or stable inversion techniques to compensate for modeling uncertainties and suppress unwanted oscillations. These advancements are crucial for improving the precision and reliability of flexible manipulators in applications ranging from industrial automation to delicate tasks requiring compliant interaction with the environment. The development of efficient and adaptable control algorithms is a key area of ongoing investigation.