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This paper introduces CRAWO, a framework for adaptive workload orchestration of AI pipelines across heterogeneous edge infrastructures. It uses a control-loop model and Kubernetes-based implementation to improve workload distribution and reduce reliance on centralized cloud processing, demonstrated in a vehicle surveillance scenario.