Towards Deploying the Wireless Charging Robots in Smart Environments

Mohammad Shidujaman, Hooman Samani, Mohammad Ali Raayatpanah, Haipeng Mi, Chinthaka Premachandra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2018 International Conference on System Science and Engineering, ICSSE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538662854
DOIs
Publication statusPublished - 2018 Nov 1
Event2018 International Conference on System Science and Engineering, ICSSE 2018 - New Taipei City, Taiwan, Province of China
Duration: 2018 Jun 282018 Jun 30

Other

Other2018 International Conference on System Science and Engineering, ICSSE 2018
CountryTaiwan, Province of China
CityNew Taipei City
Period18/6/2818/6/30

Keywords

  • Mobile Robot Navigation
  • Path Planning
  • Smart Environment
  • Wireless Charging Robot (WCR)
  • Wireless Sensor Network

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization

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