• DocumentCode
    1869821
  • Title

    A probabilistic method to analyze ambiguous contact situations

  • Author

    Spreng, Michael

  • Author_Institution
    Inst. for Real-time Comput. Syst. & Robotics, Karlsruhe Univ., Germany
  • fYear
    1993
  • fDate
    2-6 May 1993
  • Firstpage
    543
  • Abstract
    An approach to analyzing ambiguous contact situations in an uncertain robotic environment is presented. When invoked by the occurrence of a contact, the analysis proceeds by generating a set of hypotheses on the contact, out of which the valid one is detected by testing the feasibility of certain motions, i.e., performing movability tests. Emphasis is placed on the generation of the hypotheses. All parts of the analysis are based upon the same probabilistic uncertainty model, which is given
  • Keywords
    path planning; probability; robots; ambiguous contact situations; hypotheses generation; motion feasibility; movability tests; probabilistic method; uncertain robotic environment; uncertainty model; End effectors; Information analysis; Motion analysis; Motion detection; Performance evaluation; Real time systems; Robot motion; Tactile sensors; Testing; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-8186-3450-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.1993.292228
  • Filename
    292228