A Method of Robot Behavior Evolution Based on Intelligent Composite Motion Control
Masakazu Suzuki
- 发表年份
- 2000
- 引用次数
- 2
摘要
Intelligent Composite Motion Control (ICMC) is a methodology for building up robot systems in which robots realize complex, and dexterous behavior autonomously and adaptively by parameter optimization and use of empirical knowledge only if the motion control for basic element motions is given. In this article, ICMC is first reviewed, mainly for the Method of Knowledge Array, which provides a tool for realizing suboptimal motions for new situations by use of empirical knowledge. Behavior evolution based upon ICMC is proposed, i.e., it is shown how robot motions are coordinated from the most basic motions such as joint rotation, and how they evolve into complex behavior such as dexterous ball throwing.
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