• DocumentCode
    1126652
  • Title

    Reduction of placement problems using Minkowski decomposition

  • Author

    Dorst, Leo ; Ahmed, Nizam

  • Author_Institution
    Informatics Inst., Univ. of Amsterdam, Netherlands
  • Volume
    33
  • Issue
    1
  • fYear
    2003
  • fDate
    2/1/2003 12:00:00 AM
  • Firstpage
    133
  • Lastpage
    138
  • Abstract
    The problem of finding collision-free placements for an object amid obstacles has two well-known solutions: the task space approach and the configuration space approach. In this correspondence, we study the mathematical structure of the placement problem, and show that Minkowski decomposition of the object produces a hierarchy of intermediate reformulations. This provides the mathematical foundation for common approximate solution methods already used in applications. In particular, it provides a recipe for discretizing rotations consistently. The methods discussed are particularly effective for simple shapes.
  • Keywords
    genetic algorithms; path planning; Minkowski decomposition; approximate solution methods; collision-free placements; configuration space approach; hierarchical planning; mathematical foundation; mathematical structure; path planning; placement problems reduction; task space approach; Informatics; Joining processes; Mathematics; Morphological operations; Navigation; Orbital robotics; Path planning; Prototypes; Robots; Shape;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/TSMCB.2003.808180
  • Filename
    1167360