Investigation on the mechanical design of robot gripper for intelligent control using the low-cost sensor

Abstract

With the advent of Industry 4.0, there is a growing need for intelligent and automated robotic systems capable of performing complex tasks in the unknowen environments. This work focuses on the development of mechanical design for a robotic gripper and the implementation of intelligent manipulation for picking a target using a FANUC robot platform. The proposed method combines computational mechanics for the gripper, advanced motion control techniques, and a grasping control strategy to enable the robot arm to accurately and efficiently identify and pick a target object. To validate our approach, several experimental validations are conducted in various scenarios. It is well-acknowledged that the proposed work is feasible, effective, and applicable for a wide range of industrial applications.