Action learning of a mobile robot with structured intelligence in a dynamic environment
Naoyuki Kubota, Hiroyuki Masuta, F. Kojima, Toshio Fukuda
- Year
- 2003
- Citations
- 4
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
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