Optimal Performance of SCARA Robot System for Handling Objects Based on Image Processing

Abstract

This paper discusses the use of image processing to improve object handling in the SCARA robot system. The proposed approach aims to achieve faster and safer movement of the SCARA robot arm for object handling. During the experiment, the optimal performance modification determines the subsystem required to accommodate and compensate for the system's image processing capability. In general, images are processed at lower speeds, as higher speeds could potentially damage the object during system transportation. The results of the proposed approach indicate the development of new object-handling techniques for SCARA robot movements by introducing visual feedback to display and control objects. To improve object handling by the SCARA robot, several parameters in the image are described in the subsequent process. This new application of the SCARA robot system is significant, as the collision-free machine modifications emphasize the safety of the working setup. It was found that the precise manipulation of the SCARA robot when handling objects in open-loop control lacks sufficient technical representation.