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An immune-inspired swarm aggregation algorithm for self-healing swarm robotic systems

机译:一种自启发式群体机器人系统的免疫群体聚合算法

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摘要

Swarm robotics is concerned with the decentralised coordination of multiple robots having only limited communication and interaction abilities. Although fault tolerance and robustness to individual robot failures have often been used to justify the use of swarm robotic systems, recent studies have shown that swarm robotic systems are susceptible to certain types of failure. In this paper we propose an approach to self-healing swarm robotic systems and take inspiration from the process of granuloma formation, a process of containment and repair found in the immune system. We use a case study of a swarm performing team work where previous works have demonstrated that partially failed robots have the most detrimental effect on overall swarm behaviour. In response to this, we have developed an immune inspired approach that permits the recovery from certain failure modes during operation of the swarm, overcoming issues that affect swarm behaviour associated with partially failed robots.
机译:群体机器人技术关注的是只有有限的通信和交互能力的多个机器人的分散协作。尽管通常使用容错性和对单个机器人故障的鲁棒性来证明使用群体机器人系统是合理的,但最近的研究表明,群体机器人系统易受某些类型的故障的影响。在本文中,我们提出了一种自我修复群机器人系统的方法,并从肉芽肿形成过程,免疫系统中的遏制和修复过程中汲取了灵感。我们以群体执行团队合作的案例研究为例,先前的研究表明,部分失效的机器人对总体群体行为的影响最大。为此,我们开发了一种免疫启发式方法,可以在群集操作期间从某些故障模式中恢复,从而克服影响与部分故障的机器人相关的群集行为的问题。

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