About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
10th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities

Research Article

Docking autonomous robots in passive docks with Infrared sensors and QR codes

Download2919 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/icst.tridentcom.2015.259673,
        author={Roberto Quilez and Adriaan Zeeman and Nathalie Mitton and Julien Vandaele},
        title={Docking autonomous robots in passive docks with Infrared sensors and QR codes},
        proceedings={10th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks \& Communities},
        publisher={EAI},
        proceedings_a={TRIDENTCOM},
        year={2015},
        month={8},
        keywords={testbed experimentation docking robots qrcode},
        doi={10.4108/icst.tridentcom.2015.259673}
    }
    
  • Roberto Quilez
    Adriaan Zeeman
    Nathalie Mitton
    Julien Vandaele
    Year: 2015
    Docking autonomous robots in passive docks with Infrared sensors and QR codes
    TRIDENTCOM
    ICST
    DOI: 10.4108/icst.tridentcom.2015.259673
Roberto Quilez1, Adriaan Zeeman2, Nathalie Mitton1,*, Julien Vandaele1
  • 1: Inria
  • 2: University of Stellenbosch
*Contact email: nathalie.mitton@inria.fr

Abstract

In this paper, we describe an inexpensive and easy to deploy docking solution in passive charging docks for autonomous mobile robots. The objective is to achieve long-term autonomous robots within an experiment test-bed. We propose to combine the use of QR codes as landmarks and Infrared distance sensors. The relative size of the lateral edges of the visual pattern is used to position the robot in relation with the dock. Infrared distance sensors are then used to perform different approaching strategies depending on the distance. Experiments show that the proposed solution is fully operational and robust. Not to rely exclusively on visual pattern recognition avoids potential errors induced by camera calibration. Additionally, as a positive side effect, the use of Infrared sensors allows the robot to avoid obstacles while docking. The finality of such an approach is to integrate these robots into the FIT IoT Lab experimental testbed which allows any experimenter to book wireless resources such as wireless sensors remotely and to test their own code. Wifibots holding wireless sensors will be integrated as additional reservable resources of the platform to enlarge the set of possible experimentations with mobile entities.

Keywords
testbed, experimentation, docking, robots, qrcode
Published
2015-08-03
Publisher
EAI
http://dx.doi.org/10.4108/icst.tridentcom.2015.259673
Copyright © 2015–2026 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center
  • Cookie Preferences

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL