Using co-evolution to produce robust robot control

被引：0

作者：

McNutt, G ^{[1
]}

机构：

[1] Sun Microsyst Inc, Palo Alto, CA 94303 USA

来源：

PROCEEDINGS OF THE 36TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 | 1997年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Genetic programming is used to co-evolve robots and their test environments. Simulated mobile robots evolved based on their ability to navigate test courses. Test courses evolve based on their ability to cause robots to crash. Coupling robots to their test environments produces robust results. Coevolution simultaneously evolves the robot controller, verifies the robot physical design and tests the robots in increasingly difficult environments. The robots produced can routinely navigate over 98% of these highly evolved, difficult test courses. In several cases, robots are found that navigate 100% of the courses.

引用

页码：2515 / 2520

页数：6

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