Design of cloud robotic services for senior citizens to improve independent living in multiple environments

Abstract

The paper proposed a cloud robotic solution for the healthcare management of senior citizens, to demonstrate the opportunity to remotely provide continuous assistive robotic services to a number of seniors regardless to their position in the monitored environment. In particular, a medication reminding, a remote home monitoring and an user indoor localization service were outsourced in the cloud and provided to the robots, users and caregivers on request. The proposed system was composed of a number of robotic agents distributed over two smart environments: a flat at the Domocasa Lab (Peccioli, IT) and a condominium at the Angen site of the Orebro science park (Orebro, SE). The cloud acquired data from remote smart environments and enabled the local robots to provide advanced assistive services to a number of users. The proposed smart environments were able to collect raw data for the environmental monitoring and the localization of the users by means of wireless sensors, and provide such data to the cloud. On the cloud, specific algorithms improved the local robots, by providing event scheduling to accomplish assistive services and situation awareness on the users position and environments’ status. The indoor user localization service, was provided by means of commercial and ad-hoc sensors distributed over the environments and a sensor fusion algorithm on the cloud. The entire cloud solution was evaluated in terms of Quality of Service (QoS) to estimate the effectiveness of the architecture

A three-phase decision making approach for self-adaptive systems using web services

“…The work by Magee and Kramer (1996) on dynamic modeling of software architecture has inspired many subsequent works (e.g., see Garlan et al 2003;Cheng et al 2005;Kramer and Magee 2007;Bonaccorsi et al 2015;Kehoe et al 2013) on feedback loops which are essential for the evolution of self-adaptive systems. However, the feedback mechanism in these works is often kept hidden or abstract.…”

Design of a cloud robotic system to support senior citizens: the KuBo experience

“…Furthermore, Chen et al (Chen et al 2010) introduced the concept of Robot as a Service (RaaS) which enforces the idea of a robot that uses services from a remote resources, "this all-in-one design gives the robot unit much more power and capacity, so that it can qualify as a fully self-contained cloud unit in the cloud computing environment." Bonaccorsi et al (Bonaccorsi et al 2015) expand the cloud robotics introducing the concept of Cloud Service Robotics as "The integration of different agents that allow an efficient, effective and robust cooperation between robots, smart environments and citizens. "…”

“…This system manages several alarm procedures, such as a door's opening during the night, a water or gas leak, and door/windows open when the user is outside. The performance and the accuracy of this kind of system was presented in (Bonaccorsi et al 2015). As already explained in Sect.…”

Enabling personalised medical support for chronic disease management through a hybrid robot-cloud approach

“…Presence sensors were also used to improve positioning accuracy and perform host detection. A complete description and evaluation of ULM is reported in (Bonaccorsi et al 2015).…”

“…Physical Layer The smart environment included two different sensor networks: one for user localisation using the Received Signal Strength (RSS) (Bonaccorsi et al 2015), and one for environmental monitoring and passive localisation of the people (Cavallo et al 2014a). The localisation network included a set of ZigBee Anchors placed in fixed positions in the environment, a ZigBee Coordinator to maintain and manage the entire network, a Data Logger (DL) and a Mobile Node (MN) worn by the user.…”