In the realm of autonomous robotics, particularly in disaster response scenarios, the ability to efficiently visualize swarm behaviors and decision-making processes is crucial for development, testing, and real-time operation. This paper delves into the autonomy core system developed for combined virtual and real robot swarms, emphasizing the modular architecture that allows for seamless integration of different visualization methods without necessitating significant code alterations. We explore the autonomy system’s design, its benefits for flexibility in visualization, and potential applications across various domains of robotics.