The ROBIN-Cloud project aims to create software modules and services for robots in a digital interconnected society, enabling companies to develop complex, intelligent and performing products and services for these users as well as the society as a whole. Such robot systems are based on sensors, which retrieve and analyze data, respectively extract higher level information, based on which rule systems are built. These data processing systems (often large, or generated in high-speed feeds – e.g., a camera mounted on a stand-alone machine captures several frames per second) require increased processing and storage capabilities, which is why many companies prefer to use, where possible, a Cloud support environment. In this way, the Data is captured by the sensors, transferred through various communications technologies (wired or wireless) to the Cloud environment, where data processing and retrieval is carried out, which is then transmitted back to smart decision-making mechanisms. More and more Cloud Robotics is spoken, and intensive processing, including powerful learning algorithms, required for complex robot tasks can be performed in Cloud. Robot systems need guarantees on the response time of the result, in which case the time for data transfer in the Cloud begins to count. This is one of the arguments behind the Edge Computing model, where processing and analysis mechanisms are brought as close as possible to the data collected. In the project, this means creating Cloud extensions to its edge, so close to the sensors we can imagine the positioning of processing boards or set-top boxes that take over from processing (processing those critical data), respectively the extension to Cloud less critical data processing, long-term predictions).