From Sensors to the Cloud: a RealTime Usecase on Vertical Integration We present a vertical integration of a realtime Industrial Internet of Things environment with Cloud computing functionalities. We designed our testbed to implement selfadaptive wings for motorbikes using pressure values sensed in specific locations of the motorbike as input data collected exploiting openhardware devices called OpenMotes which communicate through a lowpower, delayconstrained wireless network based on the 6LoWPAN protocol stack. Our realtime onboard unit elaborates the data, and it computes the new angle of attack of two wings. The total response time of the system is in the order of 100 ms and meets the realtime requirements that constrains our scenario. Finally, we integrate our system with Cloud functionalities that we use for storing the acquired data on a timeseries database.

Utilizing 5G in Industrial Robotic Applications Sensorbased realtime control is being used in robotics for different purposes. The trend is to develop intelligent robots that can understand and react on environmental situations. This leads to the integration of more complex algorithms and involving multiple sensors and mobile assets for a more flexible and intelligent motion control. The requirement on computing power becomes often higher than it could be performed on the robot controller itself. Using an external computer introduces, nowadays, significant communication delays that make realtime control difficult or even impossible. Furthermore, to integrate mobile assets in a motion control scenario wired communication cannot be employed. A 5G network  local factory cloud may bridge this gap. In this paper we describe why 5G technology can make a significant contribution to enable new types of industrial robotics applications. Moreover, we present various use cases and discuss simulation results of a 5Gbased robotics application in an industrial environment.