机器人行为覆盖过程的增强方法

S. M. Baneamoon, R. A. Salam
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引用次数: 0

摘要

本文采用分布式学习分类器系统对机器人进行复杂行为的模拟控制。为了使仿真机器人更有效地选择合适的行为(动作),提出了一套覆盖探测器问题的增强解,并进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancement approaches of covering process for robot behaviors
In this paper a simulated control system for robot is designed by using distributed learning classifier system to perform complex behaviors. A set of enhanced solutions of cover detectors problem is suggested and compared with each other in order to make the simulated robot more effective in choosing the appropriate behavior (action).
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