Development of a Transport Robot for Automated Warehouses

Abstract

Industrial robots and manipulators are widely used as transport-loading devices in automated production. It is possible to combine equipment into coordinated production complexes of various sizes with the help of robots and they will not be bound by rigid planning and the number of installed units. Transport robots have proven themselves as flexible automated means of realizing intra-shop and interoperation material connections. More and more companies are developing technologies for vehicles through which they can communicate with each other and use real-time data from production infrastructure facilities. Electric vehicles and unmanned vehicles have become a new technological trend. In this regard, the paper deals with a prototype of an innovative transport robot, created for automated warehouses. It is proposed to use a computer vision system with image recognition based on the embedded software for the transport robot positioning inside the production facilities. The algorithm of deep machine learning was adapted to solve this problem. Using this algorithm, the prototype tests were performed successfully.