Title :
Action learning of a mobile robot with structured intelligence in a dynamic environment
Author :
Kubota, Naoyuki ; Masuta, Hiroyuki ; Kojima, Fumio ; Fukuda, Toshio
Author_Institution :
Dept. of Human & Artificial Intelligent Syst., Fukui Univ., Japan
Abstract :
This paper deals with a controlling method of mobile robot with structured intelligence. Modular neural networks are applied for action control based on perceiving-acting cycle of ecological psychology. In the proposed method, the perceptual system and action system restrict each other through interaction with its environment We conduct several experiments using a mobile robot we developed. Experimental results show the robot can acquire actions in a dynamic environment Finally, we discuss the relationship between the complicatedness of a changing environment and the number of action patterns of modular neural networks.
Keywords :
intelligent control; mobile robots; neurocontrollers; action learning; dynamic environment; ecological psychology; environment complexity; environment complicatedness; mobile robot; modular neural networks; perceiving-acting cycle; structured intelligence; Artificial intelligence; Costs; Humans; Intelligent networks; Intelligent robots; Intelligent sensors; Intelligent structures; Mobile robots; Neural networks; Robot kinematics;
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
DOI :
10.1109/ICONIP.2002.1199047