The paper studies the flexible robotic cells in cooperation with automated guided vehicle (AGV), in the presence of obstacles, at constant or variable speed and variable load, aiming to optimizing the interaction between AGV and flexible robotic cell components. Overall system performance is analyzed by using modeling tools for discrete event systems like Generalized Stochastic Petri Net (GSPN). The interaction between AGV and flexible robotic cell components is implemented through

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... messages using serial data received from an optical XY encoder, communication protocol receive function is modeled with GSPN. Improving of the stability performances and real time motion control are analyzed and the virtual projection method is adopted using the Versatile Intelligent Portable Robot Platform VIPRO. The obtained results, validated on the experimental RTOS robotic platform and DMQX language extension for robotic applications, lead to higher performance in relation to interaction optimization, decrease the flexible cell's cycle time, increase mobility and stability of the AGV and also the development of new technological capabilities of the control systems.