Evolving a behavior-based control architecture - From simulations to the real world

被引:0
|
作者
Ebner, M [1 ]
Zell, A [1 ]
机构
[1] Univ Tubingen, Wilhelm Schickard Inst Informat, D-72074 Tubingen, Germany
关键词
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暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Genetic programming makes it possible to automatically search the space of possible programs. First we evolved a behavior-based control architecture using computer simulations. Then we replicated one of the experiments with a service robot, showing that Koza's classic experiment of evolving a control architecture can be transfered to the real world with a change of representation. The use of a service robot necessitates safety measures which are also explained. Results are reported for the experiments using computer simulations and with the real robot.
引用
收藏
页码:1009 / 1014
页数:6
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