协作机器人环境下的突发探索与资源收集

R. Cioarga, Iuliana Nalatan, Sergiu Tura-Bob, M. Micea, V. Cretu, M. Biriescu, V. Groza
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引用次数: 7

摘要

最近几年,人们对紧急协作机器人的兴趣显著增加,将其作为更集中的经典方法的可行替代方案。设计和实现一个由众多廉价机器人组成的系统,比制造一个更大、更昂贵的机器人更有吸引力。本文描述了一个由自主机器人组成的协作系统在未知区域寻找食物来源(资源)的算法。作为一个案例研究,本文讨论了使用由LEGO Mindstorm机器人组成的机器人集体实现该算法。文中还介绍了一些比较有趣的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emergent exploration and resource gathering in collaborative robotic environments
The last years demonstrated a significant increase in the interest for emergent, collaborative robotics as a viable alternative to the more centralized classic approach. The design and implementation of a system of numerous cheaper robots have become more attractive than the construction of a larger, more expensive robot. This paper describes the algorithm which is used by a collaborative system of autonomous robots to find food sources (resources) on an unknown territory. As a case study, the implementations of this algorithm using a robotic collective composed of LEGO Mindstorm robots is discussed in this article. Some of the more interesting experimental results are also presented.
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