Controlling the dynamic behavior of decentralized cluster through centralized approaches

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-04-12 DOI:10.1088/1674-1056/ad3dd0

Daming Yuan, Peilong Wang, Peng Wang, Xingyu Ma, Chuyun Wang, Jing Wang, Huaicheng Chen, Gao Wang, Fangfu Ye

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引用次数: 0

Abstract

How to control the dynamic behavior of large-scale artificial active matter is a critical concern in experimental research on soft matter, particularly regarding the emergence of collective behaviors and the formation of group patterns. Centralized systems excel in precise control over individual behavior within a group, ensuring high accuracy and controllability in task execution. Nevertheless, their sensitivity to group size may limit adaptability to diverse tasks. In contrast, decentralized systems empower individuals with autonomous decision-making, enhancing adaptability and system robustness. Yet, this flexibility comes at the cost of reduced accuracy and efficiency in task execution. In this work, we present a unique method for regulating the centralized dynamic behavior of self-organizing clusters based on environmental interactions. Within this environment-coupled robot system, each robot possesses similar dynamic characteristics, and their internal programs are entirely identical. However, their behaviors can be guided by the centralized control of the environment, facilitating the accomplishment of diverse cluster tasks. This approach aims to balance the accuracy and flexibility of centralized control with the robustness and task adaptability of decentralized control. The proactive regulation of dynamic behavioral characteristics in active matter groups, demonstrated in this work through environmental interactions, holds the potential to introduce a novel technological approach and provide experimental references for studying the dynamic behavior control of large-scale artificial active matter systems.

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通过集中式方法控制分散式集群的动态行为

如何控制大规模人工活性物质的动态行为是软物质实验研究中的一个关键问题，尤其是集体行为的出现和群体模式的形成。集中式系统擅长精确控制群体内的个体行为，确保任务执行的高精确性和可控性。然而，它们对群体规模的敏感性可能会限制对不同任务的适应性。与此相反，分散式系统赋予个体自主决策权，提高了适应性和系统的稳健性。然而，这种灵活性是以降低任务执行的准确性和效率为代价的。在这项工作中，我们提出了一种独特的方法，用于调节基于环境交互的自组织集群的集中动态行为。在这个环境耦合机器人系统中，每个机器人都具有相似的动态特性，其内部程序也完全相同。但是，它们的行为可以由环境的集中控制来引导，从而促进完成不同的集群任务。这种方法旨在平衡集中控制的准确性和灵活性与分散控制的鲁棒性和任务适应性。这项工作通过环境互动展示了主动物质群组动态行为特征的主动调节，有望引入一种新的技术方法，为研究大规模人工主动物质系统的动态行为控制提供实验参考。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.