内存损坏下移动机器人群的自稳定群集

Yan Yang, X. Défago, M. Takizawa
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引用次数: 2

摘要

机器人技术由于其广泛的应用,如探索未知星球或地震或火灾后的救援人员,受到了人们的广泛关注。在一组移动机器人中,机器人通常较弱,容易发生碰撞,特别是在危险或恶劣的环境中工作。不幸的是,据我们所知,只有少数研究涉及机器人故障,特别是瞬态故障。因此,在本文中,我们基于我们提出的一对容错群集算法,讨论了当机器人的内存经历损坏时,是否有可能使机器人一起工作。否则,我们将进一步探索原因,然后尝试修改现有算法,使机器人自稳定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-stabilized Flocking of a Group of Mobile Robots under Memory Corruption
Robotics has been paid a lot attentions because of its wide applications, like explore unknown planet or rescue people after earthquake or fire. In a group of mobile robots, robots are usually weak and are easy to get crash, especially working in dangerous or harsh environment. Unfortunately, to the best of our knowledge, only a few studies address on robot failure, especially transient failure. Therefore, in this paper, based on a pair of fault tolerant flocking algorithms which we proposed, we discuss if it is possible to make robots work together once robots' memory experiences corruption. Otherwise, we further explore the reason and then try to revise the existing algorithm to make robots self-stabilized.
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