• DocumentCode
    716309
  • Title

    Stigmergy at work: Planning and navigation for a service robot on an RFID floor

  • Author

    Khaliq, Ali Abdul ; Saffiotti, Alessandro

  • Author_Institution
    AASS Cognitive Robotic Syst. Lab., Orebro Univ., Orebro, Sweden
  • fYear
    2015
  • fDate
    26-30 May 2015
  • Firstpage
    1085
  • Lastpage
    1092
  • Abstract
    Many species in nature store information in the environment to facilitate the performance of tasks and enable cooperation. This principle is known as stigmergy. Stigmergy has been widely studied in robotic systems, but so far mostly in simulation or in laboratory proofs of concept. In this paper, we propose a stigmergic approach to goal-directed navigation that can be used for navigation of a full-scale robotic system in a real apartment. A team of small ePuck robots build a set of navigation maps directly onto an RFID floor, where each map is associated to one predefined goal. The information stored in the floor can then used by a mid-size robot or by a larger domestic robot to perform safe navigation toward the predefined goals. To navigate, robots only rely on the information read from the RFID tags: in particular, they do not need to use an internal map or to perform self-localization. This results in robust and repeatable navigation with minimal hardware and software requirements.
  • Keywords
    mobile robots; path planning; radiofrequency identification; service robots; RFID floor; RFID tags; autonomous mobile robots; domestic robot; full-scale robotic system; goal-directed navigation; minimal hardware requirements; minimal software requirements; navigation maps; planning; real apartment; service robot; small ePuck robots; stigmergy; Buildings; Navigation; RFID tags; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2015 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/ICRA.2015.7139311
  • Filename
    7139311