• DocumentCode
    3376159
  • Title

    Fuzzy distance functions for motion planning

  • Author

    Sridharan, K. ; Stephanou, Harry E.

  • Author_Institution
    New York State Center for Adv. Technol. in Autom. & Robotics, Rensselaer Polytech. Inst., Troy, NY, USA
  • fYear
    1992
  • fDate
    10-13 Nov 1992
  • Firstpage
    186
  • Lastpage
    189
  • Abstract
    The problem of planning motions offline for a robot in the presence of obstacles via an algorithm that does not proceed by a discretization of the search space involves defining good heuristics to characterize the proximal relationships between two rigid bodies and the development of algorithms for their computation. Several measures are presented, and schemes for their computation are developed. The performances of the algorithms are determined in terms of their running time. The advantage of the fuzzy model is that it lends itself easily to numerical computation involving manipulation of the coordinates of the extreme points
  • Keywords
    fuzzy logic; path planning; spatial reasoning; fuzzy distance functions; fuzzy model; heuristics; motion planning; obstacles; proximal relationships; rigid bodies; running time; Algorithm design and analysis; Bandwidth; Euclidean distance; Fuzzy sets; Manipulators; Motion detection; Motion measurement; Motion planning; Robotics and automation; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1992. TAI '92, Proceedings., Fourth International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-8186-2905-3
  • Type

    conf

  • DOI
    10.1109/TAI.1992.246356
  • Filename
    246356