• DocumentCode
    245667
  • Title

    A Ubiquitous Computing Platform - Affordable Telepresence Robot Design and Applications

  • Author

    Denojean-Mairet, Marc ; Qing Tan ; Pivot, Frederique ; Ally, Mohamed

  • Author_Institution
    Sch. of Comput. & Inf. Syst., Athabasca Univ., Athabasca, AB, Canada
  • fYear
    2014
  • fDate
    19-21 Dec. 2014
  • Firstpage
    793
  • Lastpage
    798
  • Abstract
    Online universities are growing and they have to continuously integrate new technologies to provide remote students with ubiquitous learning. How to conduct lab work becomes a great challenge in distance education. Existing methods to deal with lab work in distance education institutions usually require students to travel to the actual university laboratory or the nearest located laboratories or be lent lab kits by the university. This is not perfect and can be costly to the universities and students. One possible novel solution would be to use telepresence robots as avatars for remote lab work. To investigate this novel application of telepresence robots, we built an affordable robot and we provide an application scenario, the affordable telepresence robot for remote lab as a case study. This paper will mainly focus on the design and applications of affordable telepresence robot that provides a ubiquitous computing platform for the remote lab solution in distance education.
  • Keywords
    distance learning; educational computing; educational institutions; robots; affordable telepresence robot design; distance education institutions; online universities; remote lab solution; remote lab work; ubiquitous computing platform; ubiquitous learning; university laboratory; Cameras; Educational institutions; Mobile robots; Robot vision systems; Online Education Technology; Remote Lab; Telepresence Robot; Ubiquitous Computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-7980-6
  • Type

    conf

  • DOI
    10.1109/CSE.2014.162
  • Filename
    7023672