• DocumentCode
    306223
  • Title

    Modeling planar assembly paths from observation

  • Author

    Paul, George V. ; Ikeuchi, Katsushi

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    2
  • fYear
    1996
  • fDate
    4-8 Nov 1996
  • Firstpage
    520
  • Abstract
    This paper describes a system for obtaining the motion plan for a planar assembly task, given a sequence of observations of a human performing the task. The motion plan in configuration space is a series of connected path segments lying outside and on the configuration space obstacle. We use the observed configurations of the assembled objects to selectively compute the features of the c-space obstacle on which the path lies. We project the observed configurations onto these features and reconstruct the path segments. The connected path segments form the model of the observed task and can be used to program a robot to repeat the task. We demonstrate the system using the planar peg in hole task
  • Keywords
    assembling; computational geometry; computer vision; industrial manipulators; learning systems; path planning; robot programming; configuration space; human performance observation; modeling; motion planning; path segment reconstruction; peg in hole task; planar assembly paths; robot programming; Assembly systems; Combinatorial mathematics; Humans; Layout; Machine vision; Orbital robotics; Path planning; Real time systems; Robotic assembly; Robotics and automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems '96, IROS 96, Proceedings of the 1996 IEEE/RSJ International Conference on
  • Conference_Location
    Osaka
  • Print_ISBN
    0-7803-3213-X
  • Type

    conf

  • DOI
    10.1109/IROS.1996.570845
  • Filename
    570845