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Cloud robotics aims at endowing robot systems with powerful capabilities by leveraging the computing resources available in the Cloud. To that end, the Cloud infrastructure consolidates services and information among the robots, enabling a degree of centralization which has the potential to improve operations. Despite being very promising, Cloud robotics presents two critical issues: (i) it is very hard to control the network between the robots and the Cloud (e.g., long delays, high jitter), and (ii) local context information (e.g., on the access network) is not available in the Cloud. This makes hard to achieve deterministic performance for robotics applications. Over the last few years, Edge computing has emerged as a trend to provide services and computing capabilities directly in the access network. This is so because of the additional benefits enabled by Edge computing: (i) it is easier to control the network end-to-end …