Probabilistic formation - a new idea of multi-robot formation

Yingying Ding, Yan He
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Abstract

Formation is an important problem of multi-robot domain, and it has been studied widely. However, most attentions are attracted on how to form and retain a rigid formation. In many practical situations, due to the tasks and environment are dynamic and uncertain, rigid formation may not obtain the best performance. In this paper, a flexible formation concept is proposed, which is described in a probabilistic formation form. The effect of the idea is studied in a CMOMMT problem. Simulation's results show that the flexible formation algorithm based on the proposed idea performs better than the rigid formation algorithms.
概率编队——多机器人编队的一种新思路
编队问题是多机器人领域中的一个重要问题,已经得到了广泛的研究。然而,如何形成和保持一个刚性的结构是人们关注的焦点。在许多实际情况下,由于任务和环境具有动态性和不确定性,刚性编队可能无法获得最佳性能。本文提出了一种柔性队形的概念,并用概率队形来描述。在一个cmomt问题中研究了该思想的效果。仿真结果表明,基于该思想的柔性编队算法优于刚性编队算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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