Abstract

In this study, it is aimed to ensure that the robot arms on both sides of the conveyor belt reach the targets on the conveyor belt in equal or close numbers. In the system, a band that can carry 1025 materials per unit time is used. Each frame to be processed on the conveyor belt is considered a matrix of 25 rows and 41 columns. It is aimed that the robots make a division of labor for a common problem and that the number of materials they collect and the path they cover are equal or close. For this purpose, optimization of the system has been provided by using Genetic Algorithm technique. With the developed algorithm, the work sharing between the robots in terms of the number of materials received and the total distance traveled has been achieved as close to 100%.