DocumentCode :
2205909
Title :
Path mapping and control of mobile cleaning robot using LED-ID network
Author :
Uddin, Muhammad Shahin ; Aktar, Nargis ; Cha, Jae Sang ; Jang, Yeong Min
Author_Institution :
Dept. of Electron., Kookmin Univ., Seoul, South Korea
fYear :
2011
fDate :
15-17 June 2011
Firstpage :
123
Lastpage :
126
Abstract :
Path mapping and finding the desired path for a mobile cleaning robot in order to perform cleaning efficiently is a difficult task. Moreover, in complex indoor environments, avoiding collision with other furniture or equipment is a big problem for mobile cleaning robot. In the case wireless control link should be robust for accurate moving along the desired path. But wireless radio frequency is experienced interference created by surrounding RF devices. In this paper we propose a cleaning robot control scheme using LED-ID network as a new paradigm in the in the mobile cleaning robot application. LED-ID system uses LED and visible light as a transmission source and transmission medium respectively. Therefore control the cleaning robot and illumination both are possible simultaneously. Also other radio frequency cannot interfere with the visible light. This system allows the user to teach the robot a user preferred cleaning path and provides long time cleaning stability. We also show simulation results to prove our algorithm.
Keywords :
light emitting diodes; mobile handsets; mobile robots; position control; telecommunication congestion control; telecommunication control; LED-ID network; RF devices; collision avoidance; complex indoor environments; mobile cleaning robot control; path mapping; visible light; wireless control link; wireless radiofrequency; Cleaning; Light emitting diodes; Lighting; Mobile communication; Mobile robots; Signal to noise ratio; LEDID network; Path mapping; cleaning robot; visible light;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous and Future Networks (ICUFN), 2011 Third International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1176-3
Type :
conf
DOI :
10.1109/ICUFN.2011.5949147
Filename :
5949147
Link To Document :
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