Abstract
This review focuses on manipulator control systems, which are systems that control the movement of manipulators, a type of robot programmed to move in specific ways. The control systems send commands to actuators (such as motors or pneumatic cylinders) based on input from sensors (such as position or force sensors) to control the movement of the manipulator's joints. Manipulator control systems have a wide range of applications in industries such as robotics, industrial automation, and medical and surgical robotics. The review covers the different types of manipulator control systems, including open-loop, closed-loop, and hybrid control systems, and their applications. It also discusses control strategies, including Proportional-Integral-Derivative (PID) control, Linear Quadratic Regulator (LQR) control, and Model Predictive Control (MPC). The review also covers sensors and actuators used in manipulator control systems and the challenges and future directions in the field. The review provides a comprehensive understanding of the current state of manipulator control systems and highlights the recent developments and future directions in the field, providing insights for future research and development.