• DocumentCode
    3342353
  • Title

    Goal-contact relaxation graphs for contact-based fine motion planning

  • Author

    Xiao, Jing

  • Author_Institution
    Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA
  • fYear
    1997
  • fDate
    7-9 Aug 1997
  • Firstpage
    25
  • Lastpage
    30
  • Abstract
    In many robotic assembly tasks, fine motions are contact motions among parts which are inevitable because of uncertainties and are even desired to reduce uncertainties. Knowledge of the related contact states is extremely important in planning such motions. Representing contact states as contact formations based on the notion of principal contacts, this paper introduces goal-contact relaxation graphs (GCR graphs) to represent and organize neighboring contact formations of typical “goal” contact formations. The GCR graphs carry concisely the information essential to contact motion planning and can be generated automatically. A task-independent algorithm for generating major subgraphs of GCR graphs is given in this paper
  • Keywords
    assembling; graph theory; industrial manipulators; path planning; set theory; contact formations; contact-based fine motion planning; goal-contact relaxation graphs; major subgraphs; principal contacts; robotic assembly tasks; Computer science; Motion planning; Robotic assembly; State feedback; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Assembly and Task Planning, 1997. ISATP 97., 1997 IEEE International Symposium on
  • Conference_Location
    Marina del Rey, CA
  • Print_ISBN
    0-7803-3820-0
  • Type

    conf

  • DOI
    10.1109/ISATP.1997.615379
  • Filename
    615379