研究多机器人社会中self-x属性的测试平台

Alexander Jungmann, B. Kleinjohann, Jan Lutterbeck, Benjamin Werdehausen
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引用次数: 3

摘要

在本文中,我们介绍了一个测试平台,用于在现实条件下演示和研究多机器人社会范围内的自x特性,如自优化和自组织。通过这样做,我们将生物学启发机制的调查和演示从模拟的角度转移到动态和更复杂的现实环境中。为此,我们开发了一个受控的真实世界环境,以克服自定位等常见问题。此外,我们还详细阐述了一个描述性机器人现实世界游戏的概念。通过这个游戏,我们提供了一种工具,一方面方便任何类型的观众使用,另一方面也为广泛的科学研究留下了足够的空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A test bed for investigating self-x properties in multi-robot societies
In this paper, we introduce a test bed for demonstrating and investigating self-x properties, such as self-optimization and self-organization, within the scope of multi-robot societies under realistic conditions. By doing so, we shift the investigation and demonstration of biologically inspired mechanisms from the simulative point of view to a dynamic and more complex realistic environment. For this purpose, we developed a controlled real-world environment to overcome common problems such as self-localization. Furthermore, we elaborated a concept for a descriptive robotic real-world game. By means of this game, we provide an instrument, which is easily accessible for any kind of audience on the one hand, while it still leaves enough space for an extensive scientific investigation on the other hand.
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