DewROS: A Platform for Informed Dew Robotics in ROS

In recent years Cloud Robotics technology has been proposed to overcome the constraints imposed by the resources of standalone robots. We can imagine that in near future robots will be very present in everyday life and interact with humans, so it is necessary to guarantee that robots could make decisions even if the connection to the cloud is unavailable. It is then important to move the critical tasks on the edge devices in order to make them always accessible, not following the Cloud Robotics paradigm but the Dew Robotics one instead. In this paper we propose DewROS, a platform for Dew Robotics that uses monitoring entities to monitor the system status in order to adapt the application operating conditions. In particular in this work we describe the DewROS platform and its application in the case of video analysis in a surveillance scenario. The results provided in this paper demonstrate how DewROS allows us to exploit at their best the limited resources of our robots.