Action learning of a mobile robot with structured intelligence in a dynamic environment
Naoyuki Kubota, Hiroyuki Masuta, F. Kojima, Toshio Fukuda
- 发表年份
- 2003
- 引用次数
- 4
摘要
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.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002