• DocumentCode
    3205627
  • Title

    A proxy-based cloud infrastructure for home service robots

  • Author

    Gaofeng Li ; Hongpeng Wang ; Xin Ying ; Jingtai Liu

  • Author_Institution
    Inst. of Robot. & Autom. Inf. Syst., NanKai Univ., Tianjin, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    5718
  • Lastpage
    5723
  • Abstract
    With the emerging of cloud computing, a growing body of work is focused on cloud robotics. In this paper, robots and the other devices in home are regarded as service supplier or service consumer and are packaged as RaaS (Robot as a Service) units. We design the RaaS Unit Module and propose a proxy-based cloud infrastructure for the home service robots. In addition, by modeling the disconnection times as a Poisson Process, a simple offloading strategy about whether it is suitable to offload a task to cloud is analyzed. To verify the feasibility of this infrastructure, a specific instruction set is developed to call cloud robot´s service via Lua Programming Language. By using iFLY voice cloud which is a third application, speech recognition is implemented to allow users to call robot service by voice input, which illustrates that this cloud robot can utilize cloud resources.
  • Keywords
    cloud computing; home automation; programming languages; service robots; speech recognition; stochastic processes; Lua programming language; Poisson process; RaaS unit module; cloud computing; cloud robotics; home service robot; iFLY voice cloud; proxy-based cloud infrastructure; robot-as-a-service; service consumer; service supplier; speech recognition; Cloud computing; Robot sensing systems; Sensor phenomena and characterization; Service robots; Temperature sensors; Cloud Robotics; Lua Programming Language; Offloading Strategy; Proxy-based Model; RaaS Unit Module; Speech Recognition; XiaoNan Home Service Robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7161824
  • Filename
    7161824