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.
DewROS: A Platform for Informed Dew Robotics in ROS / Stanco, G.; Botta, A.; Ventre, G.. - (2020), pp. 9-16. (Intervento presentato al convegno 8th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2020 tenutosi a gbr nel 2020) [10.1109/MobileCloud48802.2020.00010].
DewROS: A Platform for Informed Dew Robotics in ROS
Stanco G.;Botta A.
;Ventre G.
2020
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
