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  • 1.
    Bonaccorsi, Manuele
    et al.
    The BioRobotics Institute, Scuola Superiore Sant’Anna, Viale R. Piaggio, Pontedera, Italy.
    Fiorini, L
    The BioRobotics Institute, Scuola Superiore Sant’Anna, Viale R. Piaggio, Pontedera, Italy.
    Sathyakeerthy, Subhash
    Örebro University, School of Science and Technology.
    Saffiotti, Alessandro
    Örebro University, School of Science and Technology.
    Cavallo, Filippo
    The BioRobotics Institute, Scuola Superiore Sant’Anna, Viale R. Piaggio, Pontedera, Italy.
    Dario, Paolo
    The BioRobotics Institute, Scuola Superiore Sant’Anna, Viale R. Piaggio, Pontedera, Italy.
    Design of cloud robotic services for senior citizens to improve independent living in multiple environments2015In: Intelligenza Artificiale, ISSN 1724-8035, Vol. 9, no 1, 63-72 p.Article in journal (Refereed)
    Abstract [en]

    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.

  • 2.
    Bruno, Barbara
    et al.
    Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy.
    Grosinger, Jasmin
    Örebro University, School of Science and Technology.
    Mastrogiovanni, Fulvio
    Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy.
    Pecora, Federico
    Örebro University, School of Science and Technology.
    Saffiotti, Alessandro
    Örebro University, School of Science and Technology.
    Sathyakeerthy, Subhash
    Örebro University, School of Science and Technology.
    Sgorbissa, Antonio
    Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy.
    Multi-modal sensing for human activity recognition2015In: Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, Kobe, Japan, Aug 31 - Sept 4, 2015, New York: IEEE conference proceedings , 2015, 594-600 p.Conference paper (Refereed)
    Abstract [en]

    Robots for the elderly are a particular category of home assistive robots, aiming at assisting the elderly inthe execution of daily life tasks to extend their independent life. To this aim, such robots should be able to determine the level of independence of the user and track its evolution over time, to adapt the assistance to the person capabilities and needs. Human Activity Recognition systems employ various sensing strategies, relying on environmental or wearable sensors,to recognize various daily life activities which provide insights on the health status of a person. The main contribution of the article is the design of an heterogeneous information management framework, allowing for the description of a wide variety of human activities in terms of multi-modal environmental and wearable sensing data and providing accurate knowledge about the user activity to any assistive robot.

  • 3.
    Di Rocco, Maurizio
    et al.
    Örebro University, School of Science and Technology.
    Sathyakeerthy, Subhash
    Örebro University, School of Science and Technology.
    Grosinger, Jasmin
    Örebro University, School of Science and Technology.
    Pecora, Federico
    Örebro University, School of Science and Technology.
    Saffiotti, Alessandro
    Örebro University, School of Science and Technology.
    Bonaccorsi, Manuele
    The BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy.
    Cavallo, Filippo
    The BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy.
    Limosani, Raffaele
    The BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy.
    Manzi, Alessandro
    The BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy.
    Teti, Giancarlo
    Robotech srl, Italy. Association for the Advancement of Artificial Intelligence.
    Dario, Paolo
    The BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy.
    A Planner for Ambient Assisted Living:From High-Level Reasoning to Low-Level Robot Execution and Back2014In: Papers from the AAAI Spring Symposium, AAAI Press, 2014Conference paper (Refereed)
    Abstract [en]

    Robot ecologies are a growing paradigm in which oneor several robotic systems are integrated into a smartenvironment. Robotic ecologies hold great promises forelderly assistance. Planning the activities of these systems,however, is not trivial, and requires considerationof issues like temporal and information dependenciesamong different parts of the ecology, exogenous actions,and multiple, dynamic goals. We describe a plannerable to cope with the above challenges. We showin particular how this planner has been incorporatedin closed-loop into a full robotic system that performsdaily tasks in support of elderly people. The full robotecology is deployed in a test apartment inside a real residentialbuilding, and it is currently undergoing an extensiveuser evaluation.

  • 4.
    Sathyakeerthy, Subhash
    et al.
    Örebro University, School of Science and Technology.
    Di Rocco, Maurizio
    Örebro University, School of Science and Technology.
    Pecora, Federico
    Örebro University, School of Science and Technology.
    Saffiotti, Alessandro
    Örebro University, School of Science and Technology.
    Scaling up ubiquitous robotic systems from home to town (and beyond)2013In: UbiComp '13 Adjunct Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication, ACM Press, 2013, 107-110 p.Conference paper (Refereed)
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