• DocumentCode
    1250534
  • Title

    Distributed covering by ant-robots using evaporating traces

  • Author

    Wagner, Israel A. ; Lindenbaum, Michael ; Bruckstein, Alfred M.

  • Author_Institution
    IBM Haifa Res. Lab., Israel
  • Volume
    15
  • Issue
    5
  • fYear
    1999
  • fDate
    10/1/1999 12:00:00 AM
  • Firstpage
    918
  • Lastpage
    933
  • Abstract
    We investigate the ability of a group of robots, that communicate by leaving traces, to perform the task of cleaning the floor of an un-mapped building, or any task that requires the traversal of an unknown region. More specifically, we consider robots which leave chemical odour traces that evaporate with time, and are able to evaluate the strength of smell at every point they reach, with some measurement error. Our abstract model is a decentralized multi-agent adaptive system with a shared memory, moving on a graph whose vertices are the floor-tiles. We describe three methods of covering a graph in a distributed fashion, using smell traces that gradually vanish with time, and show that they all result in eventual task completion, two of them in a time polynomial in the number of tiles. Our algorithms can complete the traversal of the graph even if some of the agents die or the graph changes during the execution, as long as the graph stays connected. Another advantage of our agent interaction processes is the ability of agents to use noisy information at the cost of longer cover time
  • Keywords
    adaptive systems; decentralised control; distributed control; mobile robots; multi-agent systems; multi-robot systems; shared memory systems; adaptive system; ant-robots; chemical odour; decentralized system; distributed control; evaporating traces; multiple agent system; shared memory; time polynomial; Adaptive systems; Chemicals; Cleaning; Costs; Floors; Insects; Measurement errors; Polynomials; Robot kinematics; Tiles;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.795795
  • Filename
    795795