• DocumentCode
    1914764
  • Title

    Intelligent tasks scheduler

  • Author

    da Silva Ferreira, J.R. ; Cavalcanti, José Homero Feitosa ; Alsina, Pablo Javier

  • Author_Institution
    Fed. Univ. of Paraiba, Brazil
  • Volume
    5
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    3457
  • Abstract
    This paper presents a brief description of an intelligent system, used in the control of load exchange between two robotic manipulators. An intelligent tasks scheduler, that uses mainly fuzzy logic to define which task will be executed in a certain instant, controls the whole system. Tasks are used in actions and in system control. In a low level, each manipulator joint motion is controlled by an intelligent control system. Several joint motions compose action tasks. In a higher level, cooperation between both manipulators is attained through control tasks. A state diagram defines the possible action tasks sequences. According to acquired joint position information the intelligent tasks scheduler determines, through fuzzy rules, which is the correct action task sequence
  • Keywords
    cooperative systems; fuzzy control; fuzzy neural nets; intelligent control; manipulators; neurocontrollers; fuzzy logic; fuzzy rules; intelligent control system; intelligent tasks scheduler; joint position information; load exchange; manipulator cooperation; robotic manipulators; state diagram; Artificial intelligence; Control systems; DC motors; Hybrid intelligent systems; Intelligent control; Intelligent robots; Manipulators; Open loop systems; Prototypes; Real time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.836221
  • Filename
    836221