A Digital Twin implementation for Mobile and collaborative robot scenarios for teaching robotics based on Robot Operating System

Abstract

Teaching robotics demands the use of hands-on tools that enable and empower the skills and competencies acquaintance needed to successfully implement robot-based solutions. Real robots are expensive and prone to damage in the event of miss usage, a powerful solution is the use of simulators, ROS (Robot Operating System) which is an open-source software that is being viewed as a potential solution for tackling new and more complicated production challenges. This paper presents various projects that are aimed to give students high-quality courses in robotics and industrial control thanks to recent technical advancements, so they can work in simulated environments, and once that has been processed has finished, it can be rapidly implemented in real manufacturing processes. The robots may vary depending on the use they will have in the production area; this research shows the use of Autonomous Mobile Robots (AMRs) and Articulated Robotic Arms with numerous joints and articulated robotic arms that are used to move and lift objects in our facility. We used the UFACTORY xArm 6, which offers a good performance of 6 axis robot arms, and the DASHGO-B1 robot which is capable of indoor mapping, localization, and autonomous navigation. The suggested approach connects this arm robot and the mobile robot to PLCs (Programmable Logic Controller), which are industrial computer control systems that continually monitor input devices. This research’s possible use might strengthen educational approaches for teaching robotics and industrial control, as well as save costs and improve factory performance. This research shows that it is feasible to deploy numerous robots with industrial equipment to improve performance.