The Metaverse is transforming the way we interact with robots, sensors, environments, and humans, via the creation of a digital domain that is inter-operable, unified, and co-created by many collaborators. Several sectors have identified that robots are valuable for optimizing current processes. However, robotic platforms face challenges in the environments they are deployed in, requiring a diverse range of capabilities and roles. A Multi-robot (MR) fleet presents opportunities via the leverage of attributes of diverse robot types. Symbiotic interactions are established via collaborative robotics for the completion of objectives and ensuring mission resilience. The Metaverse provides distinct opportunities for a human-in-the-loop to engage with an MR-fleet via cyber physical platforms including simulation and mixed reality. This chapter presents a Symbiotic Multi-Robot Fleet (SMuRF) and Operational Decision Support Interface (ODSI) which co-ordinates the orchestration and deployment of an MR team within an autonomous inspection, maintenance and repair mission, and where the ODSI provides a human-in-the-loop with a holistic overview of the robotic platforms at run-time. In addition, we demonstrate how formal methods, in the form of probabilistic models to address mission success probabilities, can be verified during run-time alongside the SMuRF. This improves overall situational awareness and validates decisions made by the human operator in real-time and in advance of an autonomous mission to provide foresight.