基于虚拟训练的移动机器人基因构建

IEEE Workshop on Advanced Robotics and its Social Impacts, 2005. Pub Date : 2005-06-12 DOI:10.1109/ARSO.2005.1511651

H. Kobayashi, S. Yokota, P. Blazevic

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引用次数: 0

摘要

提出了一种生成移动机器人自主运动协调的方法。该方法是让机器人通过试验和错误来学习自己的行走策略，即在虚拟环境中进行训练。利用动态引擎，利用遗传算法进行适当的自然选择，在各种虚拟环境中对机器人进行训练。

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Gene creation for a mobile robot by virtual training

This paper shows a method to generate an autonomous motor coordination for mobile robots. The method is to let robots learn their own walking strategy by trials and errors, namely by training in virtual environments. By using a dynamics engine, the robot training is done in various virtual environments under genetic algorithm with a proper natural selection.

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来源期刊

IEEE Workshop on Advanced Robotics and its Social Impacts, 2005.

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