• DocumentCode
    2235304
  • Title

    Enveloping obstacles with hexagonal metamorphic robots

  • Author

    Walter, Jennifer E. ; Tsai, Elizabeth M. ; Amato, Nancy M.

  • Author_Institution
    Dept. of Comput. Sci., Vassar Coll., Poughkeepsie, NY, USA
  • Volume
    1
  • fYear
    2003
  • fDate
    14-19 Sept. 2003
  • Firstpage
    741
  • Abstract
    The problem addressed is the distributed reconfiguration of the metamorphic robot system composed of any number of two dimensional robots (modules). The initial configuration we consider is a straight chain of modules, while the goal configuration satisfies a simple admissibility condition. Our reconfiguration strategy depends on finding a contiguous path of cells, called a substrate path that spans the goal configuration. Modules fill in this substrate path and then move along the path to fill in the remainder of the goal without collision or deadlock. In this paper, we address the problem of reconfiguration when a single obstacle is embedded in the goal environment. We introduce a classification for traversable surfaces, which allows for coherence in defining admissibility characteristics for various objects in the hexagonal grid. We present algorithms to 1) determine if an obstacle embedded in the goal fulfills a simple admissibility requirement, 2) include an admissible obstacle in a substrate path, and 3) accomplish distributed reconfiguration.
  • Keywords
    collision avoidance; multi-robot systems; robot kinematics; self-adjusting systems; admissibility condition; distributed reconfiguration; enveloping obstacle; hexagonal grid; hexagonal metamorphic robots; obstacle admissibility requirement; reconfiguration strategy; substrate path; traversable surface; two dimensional robots; Computer science; Control systems; Educational institutions; Mobile robots; Motion planning; Robot control; Robot kinematics; Shape control; Strategic planning; System recovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-7736-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.2003.1241682
  • Filename
    1241682