多代理的可伸缩任务清理分配

A. Saraiva, Njc Costa, J. V. M. Sousa, T. P. D. Araujo, N. M. F. Ferreira, António Valente
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引用次数: 5

摘要

本文描述了一组用于清洁模拟环境的机器人,并提出了一种基于路径排序a *的高效导航算法。不需要视觉传感器。结果表明,机器人可以协同工作进行地面清理,并且导航算法在清理中是有效的。为了检验其效率,将本文提出的Path nding A*算法和决策算法与Path nding A*和欧几里得距离相结合进行了比较,结果在时间和距离上都有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scalable task clean-up assignment for multi-agents
This paper describes a group of robots for cleaning a simulated environment and proposes an ecient algorithm for navigation based on Path nding A *. No need for vision sensors. As a result it was observed that the robots can work cooperatively to clear the ground and that the navigation algorithm is e ective in cleaning. In order to test its eciency it was compared the combination of the Path nding A* algorithm and the decision algorithm proposed in this paper with Path nding A* and Euclidean distance, resulted in an improvement in time and distance traveled.
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