在机器人的异质社会中研究有机计算原理的现实世界场景

OC '11 Pub Date : 2011-06-18 DOI:10.1145/1998642.1998651
Alexander Jungmann, Jan Lutterbeck, Benjamin Werdehausen, B. Kleinjohann, L. Kleinjohann
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引用次数: 0

摘要

在本文中,我们介绍了一种基础设施,用于研究基于异质机器人社会的现实场景中的有机计算原理,如自优化和自组织。这个基础设施,R3PB-Workbench(帕德伯恩大学的远程真实机器人),为进行真实世界的多机器人实验提供了一个受控的环境,同时使开发人员从诸如获得整个环境的全局视图和在该环境中自我定位等常见问题中解脱出来。此外,它提供了一个通信层,隐藏了被控制机器人类型的异质性,也便于访问每个机器人的主观视图。目前我们提供三种不同尺寸和功能的移动机器人。由于工作台易于定制,因此它支持集成其他类型的机器人。因此,在我们的现实世界场景范围内进行实验的机器人组的异质性程度可以根据需要进行修改。此外,我们将多机器人游戏作为一个说明性的现实世界场景,一方面允许进行复杂的科学调查,另一方面也能够吸引那些没有技术背景的玩家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a real-world scenario for investigating organic computing principles in heterogeneous societies of robots
In this paper we introduce an infrastructure for investigating Organic Computing principles such as self-optimization and self-organization in real-world scenarios based on a heterogeneous society of robots. This infrastructure, the R3PB-Workbench (Remote Real Robots at the University of Paderborn), provides a controlled environment for conducting real-world multi robot experiments, while relieving the developer from common problems like getting a global view of the entire environment and self-localization within this environment. In addition, it provides a communication layer that hides the heterogeneity of the controlled robot types and also facilitates access to each robot's subjective view. Currently we provide three types of mobile robots with different size and capabilities. Since the workbench is easily customizable, it supports the integration of additional types of robots. Hence, the degree of heterogeneity of the robot group conducting the experiments in the scope of our real-world scenario can be modified as needed. Furthermore, we elaborated a multi-robot game as an illustrative real-world scenario, which on the one hand allows for sophisticated scientific investigations and on the other hand is also appealing for an audience, even with little technical background.
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