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
Link To Document :
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