InSystems and Mannequin Engineering Options collectively developed a Simulink mannequin of an adaptive fleet of InSystems’ proANT collaborating transport robots. The aim was to seize the specified adaptive system habits to extra successfully cope with the everyday targets and challenges of collaborative embedded system teams (CSGs). A fleet of robots has to react to dynamic adjustments within the coverage of the manufacturing execution system or the quantity and nature of its members to safeguard its performance. The constant utility of a model-based growth course of for automation methods provides quite a lot of advantages to cope with these challenges. Before everything, the specification of the CSG within the type of executable fashions permits for a completely digital simulated illustration of the robotic fleet. This gives a sound basis to effectively develop and preserve the precise system. To use the complete potential, a model-based method depends on the reusability of fashions and take a look at beds all through the totally different growth phases. Secondly, the model-based growth course of earnings from a completely built-in device chain that extremely automatizes related growth actions. These embrace necessities administration, modelling, and simulation in addition to built-in high quality assurance duties, most notably, model-based static evaluation and requirements-based testing. Instruments such because the MES Mannequin Examiner® and the MES Take a look at Supervisor® are helpful in streamlining the method.