Title :
Knowledge acquisition for target capture
Author :
Stonier, R.J. ; Mohammadian, M.
Author_Institution :
Central Queensland Univ., Rockhampton, Qld., Australia
Abstract :
In this paper we examine further modifications to genetic learning of fuzzy rules to control a simulated mobile robot to capture a moving target from an arbitrary initial configuration. An evolutionary algorithm is employed as an adaptive method for learning the fuzzy control rules
Keywords :
fuzzy control; genetic algorithms; knowledge acquisition; learning (artificial intelligence); mobile robots; robot kinematics; adaptive method; evolutionary algorithm; fuzzy control rules; fuzzy rules; genetic learning; knowledge acquisition; moving target; simulated mobile robot; target capture; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Genetics; Intelligent control; Knowledge acquisition; Mobile robots; Robot control;
Conference_Titel :
Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4869-9
DOI :
10.1109/ICEC.1998.700141
