Estación de paletizado y clasificación de objetos mediante un brazo robótico Epson controlado por inteligencia artificial

Abstract

From the Industrial Revolution, which introduced large-scale machines and equipment that reduced working times, the production capacity of industries improved. However, errors caused by human intervention led to thousands of problems each year. Due to these factors, the study aimed to control a palletizing and object sorting station through artificial intelligence to reduce the error percentage in such processes. This was based on three stages: first, it was identified that the S7-1200 PLC allows manipulation of the AI-controlled autonomous system to accurately determine the correct location of the entering object; second, through OPC communication, data was sent and received in real-time displayed on the control panel according to the processing time; and through operational tests, it was determined that there is an approximate error of 11%. Finally, it was concluded that the system is capable of properly placing 9 out of 10 objects entering the sorting system, using an average time of 36.35 s between inputs and outputs produced during the development of the study.