Automated guided vehicles (AGVs) are widely used for material transportation in industry and commerce. In this study, an AGV-based intelligent material handling system was developed using the model-based systems engineering (MBSE) approach. The core (controller) of the AGV was designed in the system modeling language environment using Visual Paradigm software and then implemented in hardware. As a result, the complex tasks of the AGV in material handling, navigation, and communication were successfully completed and tested in a real industrial environment. The developed AGV is capable of towing a trolley weighing up to 200kg at walking speed. The AGV can be integrated into an intelligent material handling system with multiple autonomous vehicles and workstations, providing flexibility and reconfigurability to the entire manufacturing system. The design of the AGV also takes into account ergonomics and safety. A comprehensive safety system that complies with industrial standards is implemented.
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