遗忘移动机器人的均匀分散

Attila Hideg, L. Blázovics, B. Forstner
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引用次数: 3

摘要

均匀分散的研究领域集中于移动机器人解决该问题所需的最小能力。考虑未知连通空间中的均匀色散问题,该空间被分解为更小的单元。自主机器人通过一个入口点注入,必须在避免碰撞的同时占据所有的细胞。这些机器人在硬件能力方面被认为是“弱”的。他们的记忆、视野和通讯范围有限。当机器人没有任何持久存储(即没有任何过去位置或动作的记忆)时,它们被称为遗忘。本文提出了一种使遗忘机器人能够解决均匀色散问题的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uniform dispersal of oblivious mobile robots
The research area of uniform dispersal focuses on the minimal capabilities required by mobile robots to solve the problem. Consider the uniform dispersion problem in an unknown connected space which is decomposed into smaller cells. Autonomous robots are injected through an entry point and has to occupy all the cells while avoiding collisions. These robots are considered "weak" in terms of hardware capabilities. They have limited memory, visibility and communication range. When the robots do not have any persistent storage (i.e. without any memory of past positions or actions) they are called oblivious. This paper presents a method which enables oblivious robots to solve the uniform dispersion problem.
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