• DocumentCode
    3307416
  • Title

    The Social Internet of Things and the RFID-based robots

  • Author

    Turcu, Cornel ; Turcu, Cornel

  • Author_Institution
    Comput., Electron. & Autom. Dept., Stefan cel Mare Univ. of Suceava, Suceava, Romania
  • fYear
    2012
  • fDate
    3-5 Oct. 2012
  • Firstpage
    77
  • Lastpage
    83
  • Abstract
    Internet of Things allows the interconnection of smart objects, such as mobile robots, wireless sensors, etc., and of human beings, by using different communication protocols and by developing a dynamic multi-modal heterogeneous network. This paper proposes some considerations on cognitive robots based on radio frequency identification technology within Internet of Things, by adding a social dimension to human-robot and robot-robot interactions. Social networks can be used for storing and sharing links to resources of interest for the humanrobot and robot-robot interactions. A Stinger robot-based prototype was built to demonstrate the presented functionalities. The prototype shows that this model is not only flexible, but also practical.
  • Keywords
    Internet of Things; control engineering computing; intelligent robots; mobile robots; protocols; radiofrequency identification; social networking (online); telerobotics; RFID-based robot; Stinger robot-based prototype; cognitive robot; communication protocol; dynamic multimodal heterogeneous network; human-robot interaction; mobile robot; radio frequency identification technology; robot-robot interaction; smart object; social Internet of Things; social network; wireless sensor; Humans; Internet; Radiofrequency identification; Robot sensing systems; Social network services; RFID; Social Internet of Things; behaviour; cognitive robot; robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on
  • Conference_Location
    St. Petersburg
  • ISSN
    2157-0221
  • Print_ISBN
    978-1-4673-2016-0
  • Type

    conf

  • DOI
    10.1109/ICUMT.2012.6459769
  • Filename
    6459769