• DocumentCode
    1860923
  • Title

    Designing control laws for cooperative agent teams

  • Author

    Parker, Lynne E.

  • Author_Institution
    MIT Artificial Intelligence Lab., Cambridge, MA, USA
  • fYear
    1993
  • fDate
    2-6 May 1993
  • Firstpage
    582
  • Abstract
    Control laws for cooperative agent teams utilize a combination of local and/or global knowledge to achieve the resulting group behavior. A key difficulty in this development is determining the appropriate balance between the use of global information and the use of local information to achieve coherent cooperation without excessive communication requirements. This issue is addressed by presenting some general guidelines and principles for determining the appropriate level of global versus local control. These principles are illustrated and implemented in a `keep formation´ cooperative task case study, which presents several alternative control strategies along the local versus global spectrum. Experimental data that demonstrate that local control alone is not sufficient to meet the goals of certain tasks, and that an increasing use of global knowledge can result in a steadily improving group cooperation, are presented. It is concluded that the use of local control information to ground global knowledge in the current situation is perhaps the best way to achieve the proper balance between local and global control
  • Keywords
    control system synthesis; decentralised control; large-scale systems; coherent cooperation; communication requirements; control law design; cooperative agent teams; formation-keeping; global control; global knowledge; group behavior; local control; local knowledge; Artificial intelligence; Centralized control; Communication system control; Control systems; Cooperative systems; Global communication; Guidelines; Laboratories;
  • 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.1993.291842
  • Filename
    291842