Interleaving simulated and physical environments improves evolution of robot control structures
A.E.A. Goosen, R. van den Brule, J.H. Janssen, Pim Haselager
- 发表年份
- 2007
- 引用次数
- 7
- 访问权限
- 开放获取
摘要
Control structures for physical robots can be evolved in simulated and physical environments. In this study, the interleaving of simulated and physical environments during the course of the evolution of a control structure was examined. This method was compared to the method of 'fine tuning' in a physical environment a control structure that has involved in complete simulation. Interleaving physical and simulated environments improves performance of the eventual control structure. Possibly, this method allows for the evolved control structure to incorporate and retain advantageous behavioral patterns from both environments.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991