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
Link To Document :
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