Advanced Robotic Gripper Control System Using Intelligent Techniques

Robotic grippers play a pivotal role in enabling robots to interact with objects and perform a wide range of tasks in various domains. They are considered an essential application in industrial robots, and controlling robotic grippers’ movement is a critical requirement to achieve the desired objectives. In this paper, a new controlling scheme for the movement of a robotic gripper based on the JAYA optimization technique has been implemented. A comparison was made between the outcomes achieved by the JAYA algorithm and the proportional integral differential (PID) controller. Three different input signals, namely step input, sine wave, and pulse input, have been utilized to validate the efficiency of the proposed control scheme. Additionally, the control of the movement of the robot was assessed under various scenarios, including different weights loaded on the motor. Simulation and the obtained results are carried out through MATLAB Simulink.