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

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.
Type de document :
Communication dans un congrès
International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities (TridentCOM), Jun 2015, Vancouver, Canada. 2015
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https://hal.inria.fr/hal-01147332
Contributeur : Nathalie Mitton <>
Soumis le : mardi 30 juin 2015 - 13:04:02
Dernière modification le : mardi 4 juillet 2017 - 14:28:48
Document(s) archivé(s) le : mardi 25 avril 2017 - 20:14:28

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docking_wifibot.pdf
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  • HAL Id : hal-01147332, version 1

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Roberto Quilez, Adriaan Zeeman, Nathalie Mitton, Julien Vandaele. Docking autonomous robots in passive docks with Infrared sensors and QR codes. International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities (TridentCOM), Jun 2015, Vancouver, Canada. 2015. 〈hal-01147332〉

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