SCALABLE MECHANISMS FOR REMOTE SOFTWARE UPDATES IN EDGE ROBOTICS

Abstract

The proliferation of distributed robotic systems in industry creates a need for secure and scalable remote software update mechanisms, as manual processes lead to downtime, version desynchronization, and delays in releasing critical updates. The proposed architecture combines containerized microservices, CI/CD pipelines, Kubernetes orchestration, GitOps configuration management, and specialized state transfer operators to enable automated updates on heterogeneous edge devices. The use of Docker with multi-architecture capabilities, IaC tools (such as Ansible and TOSCA), and declarative orchestration models enables the system to adapt to the constraints of edge environments. Empirical results demonstrate state transfer in under 42ms for large industrial controllers [1] and a 30-fold acceleration of batch updates compared to manual processes, with minimal load on devices [2], confirming the effectiveness and suitability of the described methods for modern production systems.