APPLICATION OF MUNICH AGILE CONCEPT FOR MBSE BASED DEVELOPMENT OF AUTOMATED GUIDED ROBOT BASED ON DIGITAL TWIN-DATA

Simulation and Virtualization of robotic systems and Autonomous Guides Vehicle (AGV) is one of the most important aspects in the future development of such systems. This paper will contribute a framework and an entire toolchain to present a holistic and systematic approach for development of future robotic AGV systems. In the first section this paper will present the first descriptive study which is the literature survey and the definition of the scientific gaps and research questions related to systematic approaches based on Systems Engineering and Model Based System Engineering. In section number two this paper will present a new approach and framework called "Munich Agile Concept for Modell based Systems Engineering (MAGIC)" to develop entire virtual tool chains for virtualization and simulation of different functions in a virtual environment. This aspect is one of the important contributions of this paper. MBSE is based on three important core pillar which is 1) Methods/Processes, 2) Language and 3) Systems. The purpose of the new developed Munich Agile Concept Approach is to handle the complexity over the entire holistic information framework for simulation and virtualization of AGV function development from the system requirement definition process up to the test and validation of the system. Furthermore, with MAGIC there is a holistic approach and method to carry out the entire virtual development process by means of capable simulation and virtualization tools based on MAGICLOOP. The Munich Agile Concept contains six different levels which are System Requirement-, System Functional-, System Architecture-, System Validation-, System Test and the System-Usage-Level. For defining the first three-level, a graphical language called System Modelling Language (SysML) has been applied. The third chapter will apply the developed approach in an industrial Use Case which is based on simulation and virtualization of AGVs in a manufacturing environment. The last chapter will summaries the results of the applied Method. A lot of verification and testing are required robot and AGV development. ore the autonomous driving system can be deployed. However, testing in a real world will consume a lot of resources and may also bring security risks. Therefore, simulation is particularly important for autonomous driving systems.