TY - GEN
T1 - Towards Deploying the Wireless Charging Robots in Smart Environments
AU - Shidujaman, Mohammad
AU - Samani, Hooman
AU - Raayatpanah, Mohammad Ali
AU - Mi, Haipeng
AU - Premachandra, Chinthaka
N1 - Funding Information:
*Research supported by AIART Lab, National Taipei University.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/1
Y1 - 2018/11/1
N2 - The purpose of this paper is to illustrate the development process of a Wireless Charging Robot (WCR) according to scenario-based design approach. In the previous work, we have introduced the prototype design and its working functionality as a combination of state of the art in the field of wireless power transmission and mobile robotics. The prototype has designed and examined for various usage scenarios. This work is within our research on WCR where we are attempting to develop an advanced WCR design, considering the example of various practical scenarios for the smart environment. A mobile robot is equipped with a wireless charger and navigates in the environment of various battery nodes in order to charge the network in an efficient way. Hence, we present a mathematical model to find the shortest route for WCR. Furthermore, we also address the cultural influence and reactions of wireless charging robot with a survey result based on country sociological impact.
AB - The purpose of this paper is to illustrate the development process of a Wireless Charging Robot (WCR) according to scenario-based design approach. In the previous work, we have introduced the prototype design and its working functionality as a combination of state of the art in the field of wireless power transmission and mobile robotics. The prototype has designed and examined for various usage scenarios. This work is within our research on WCR where we are attempting to develop an advanced WCR design, considering the example of various practical scenarios for the smart environment. A mobile robot is equipped with a wireless charger and navigates in the environment of various battery nodes in order to charge the network in an efficient way. Hence, we present a mathematical model to find the shortest route for WCR. Furthermore, we also address the cultural influence and reactions of wireless charging robot with a survey result based on country sociological impact.
KW - Mobile Robot Navigation
KW - Path Planning
KW - Smart Environment
KW - Wireless Charging Robot (WCR)
KW - Wireless Sensor Network
UR - http://www.scopus.com/inward/record.url?scp=85057586117&partnerID=8YFLogxK
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U2 - 10.1109/ICSSE.2018.8520063
DO - 10.1109/ICSSE.2018.8520063
M3 - Conference contribution
AN - SCOPUS:85057586117
T3 - 2018 International Conference on System Science and Engineering, ICSSE 2018
BT - 2018 International Conference on System Science and Engineering, ICSSE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Conference on System Science and Engineering, ICSSE 2018
Y2 - 28 June 2018 through 30 June 2018
ER -