• DocumentCode
    1548766
  • Title

    Contact constraint analysis and determination of geometrically valid contact formations from possible contact primitives

  • Author

    Xiao, Jing ; Zhang, Lixin

  • Author_Institution
    Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA
  • Volume
    13
  • Issue
    3
  • fYear
    1997
  • fDate
    6/1/1997 12:00:00 AM
  • Firstpage
    456
  • Lastpage
    466
  • Abstract
    A complete, precise, and systematic analysis on the geometrical nature of contacts between two arbitrary polygons and derivation of the geometric contact constraints between two such polygons are provided. Based on the results, a general algorithm is presented to identify the geometrically valid contact formations (CFs) from a given set Spc of possible principal contacts (PCs) between two polygonal objects with location uncertainties. For any (nonempty) subset of Spc, the algorithm tests if the PCs in the set form a possible CF by verifying the geometrical contact constraints. The obtained set of geometrically valid CFs can serve as input to an additional verifier based on force sensing which can extract the actual CF from the set. The notion of equivalent CFs is introduced to describe those contact situations constraining the relative location between two objects to the same region. This concept proves to be extremely useful to the completeness of the analysis and efficiency of the algorithm. Of the many discoveries, a particularly significant one is that despite uncertainties in object locations, in many cases, if two or more PCs are formed between two objects, their relative location is fixed or can take up to only four solutions
  • Keywords
    computational geometry; topology; contact constraint analysis; contact primitives; geometrical contact constraints; geometrically valid contact formation determination; location uncertainties; polygonal objects; principal contacts; Algorithm design and analysis; Assembly; Computer science; Motion planning; Testing; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.585907
  • Filename
    585907