• DocumentCode
    2799732
  • Title

    Planning knowledge and game-theoretic models for cooperative assembly

  • Author

    Rajan, V.N. ; Nof, S.Y.

  • Author_Institution
    Sch. of Ind. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    1990
  • fDate
    5-7 Sep 1990
  • Firstpage
    957
  • Abstract
    A knowledge-based planning and control approach that involves game-theoretic models for cooperation among distributed machines is developed. The cooperation modes are classified into three types: mandatory, optional, and concurrent. The planning issue deals with two main problems: description of assembly tasks with associated cooperation knowledge and assignment of individual or collective tasks to robots or machines on the basis of the task requirements and machine capabilities. The most effective coalition of robots and machines that can perform the task successfully is determined on the basis of the current perception of the system
  • Keywords
    assembling; game theory; knowledge engineering; planning (artificial intelligence); assembly tasks; concurrent; cooperation knowledge; cooperation modes; cooperative assembly; distributed machines; game-theoretic models; knowledge based control; knowledge-based planning; machine capabilities; mandatory; optional; robots; task assignment; task requirements; Assembly systems; Collaboration; Game theory; Industrial engineering; Machine intelligence; Manufacturing; Real time systems; Robotic assembly; Robots; Strategic planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on
  • Conference_Location
    Philadelphia, PA
  • ISSN
    2158-9860
  • Print_ISBN
    0-8186-2108-7
  • Type

    conf

  • DOI
    10.1109/ISIC.1990.128570
  • Filename
    128570