In the dynamic realm of multi-robot systems, secure decision-making and efficient resource utilization are paramount. This work introduces RoboMesh, a decentralized orchestration framework leveraging swarm intelligence and generative AI to optimize application deployment across the cloud-to-edge continuum. By implementing self-organized swarms, we enhance secure decision-making processes within multi-robot environments, enabling adaptive responses to fluctuating conditions and threats. Knowledge and trust, essential for the operation of the orchestration space, are managed through blockchain-based solutions and emerging technologies like Self-Sovereign Identities (SSI). The system’s end-to-end security is ensured through advanced cryptographic techniques and privacy-preserving data analytics. Additionally, a digital twin runs parallel to the physical system, providing predictive feedback to further improve performance. RoboMesh embodies a cutting-edge approach to enhancing the resilience and efficiency of multi-robot systems in complex environments.