• DocumentCode
    2592371
  • Title

    Incremental multi-robot mapping

  • Author

    Lakaemper, Rolf ; Latecki, Longin Jan ; Wolter, Diedrich

  • Author_Institution
    Dept. of CIS, Temple Univ., Philadelphia, PA, USA
  • fYear
    2005
  • fDate
    2-6 Aug. 2005
  • Firstpage
    3846
  • Lastpage
    3851
  • Abstract
    The purpose of this paper is to present a technique to create a global map of robots´ surroundings by converting the raw data acquired from a scanning sensor to a compact map composed of just a few generalized polylines (polygonal curves). We propose a new approach to merging robots´ maps that is composed of a local geometric process of merging similar line segments (termed discrete segment evolution) with a global statistical control process. In the case of single robot, we are able to incrementally build a map showing the environment the robot has traveled through by merging its polygonal map with actual scans. In the case of a robot team, we are able to identify common parts of their partial maps and if common parts are present construct a joint map of the explored environment.
  • Keywords
    knowledge representation; mobile robots; multi-robot systems; cognitive robotics; discrete segment evolution; incremental multirobot mapping; map fusion; polygonal curves; polylines; shape similarity; statistical control; Cognitive robotics; Computational Intelligence Society; Informatics; Mathematics; Merging; Process control; Robot sensing systems; Shape; Simultaneous localization and mapping; Stress; Cognitive Robotics; Map Fusion; Robot Mapping; Shape Similarity; Team of Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-8912-3
  • Type

    conf

  • DOI
    10.1109/IROS.2005.1544978
  • Filename
    1544978