• DocumentCode
    2057359
  • Title

    Exact cellular decompositions in terms of critical points of Morse functions

  • Author

    Choset, Howie ; Acar, Ercan ; Rizzi, Alfred A. ; Luntz, Jonathan

  • Author_Institution
    Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2270
  • Abstract
    Exact cellular decompositions are structures that globally encode the topology of a robot´s free space, while locally describing the free space geometry. These structures have been widely used for path planning between two points, but can be used for mapping and coverage of robot free spaces. In this paper, we define exact cellular decompositions where critical points of Morse functions indicate the location of cell boundaries. Morse functions are those whose critical points are non-degenerate. Between critical points, the structure of a space is effectively the same, so simple control strategies to achieve tasks, such as coverage, are feasible within each cell. In this paper, we derive a general framework for defining decompositions in terms of critical points and then give examples, each corresponding to a different task. All of the results in this paper are derived in an m-dimensional Euclidean space, but the examples depicted in the figures are 2D and 3D for ease of presentation
  • Keywords
    computational geometry; mobile robots; path planning; topology; Euclidean space; Morse functions; cell boundaries; cellular decompositions; critical points; free space geometry; mobile robots; path planning; topology; Computational geometry; Costs; Floors; Landmine detection; Motion control; Orbital robotics; Path planning; Robot sensing systems; Snow; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5886-4
  • Type

    conf

  • DOI
    10.1109/ROBOT.2000.846365
  • Filename
    846365