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邻居的身体朝向变化导致集体运动中无标度相关性。

Body orientation change of neighbors leads to scale-free correlation in collective motion.

机构信息

School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, P. R. China.

School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi, 710055, P. R. China.

出版信息

Nat Commun. 2024 Oct 17;15(1):8968. doi: 10.1038/s41467-024-53361-8.

Abstract

Collective motion, such as milling, flocking, and collective turning, is a common and captivating phenomenon in nature, which arises in a group of many self-propelled individuals using local interaction mechanisms. Recently, vision-based mechanisms, which establish the relationship between visual inputs and motion decisions, have been applied to model and better understand the emergence of collective motion. However, previous studies often characterize the visual input as a transient Boolean-like sensory stream, which makes it challenging to capture the salient movements of neighbors. This further hinders the onset of the collective response in vision-based mechanisms and increases demands on visual sensing devices in robotic swarms. An explicit and context-related visual cue serving as the sensory input for decision-making in vision-based mechanisms is still lacking. Here, we hypothesize that body orientation change (BOC) is a significant visual cue characterizing the motion salience of neighbors, facilitating the emergence of the collective response. To test our hypothesis, we reveal the significant role of BOC during collective U-turn behaviors in fish schools by reconstructing scenes from the view of individual fish. We find that an individual with the larger BOC often takes on the leading role during U-turns. To further explore this empirical finding, we build a pairwise interaction mechanism on the basis of the BOC. Then, we conduct experiments of collective spin and collective turn with a real-time physics simulator to investigate the dynamics of information transfer in BOC-based interaction and further validate its effectiveness on 50 real miniature swarm robots. The experimental results show that BOC-based interaction not only facilitates the directional information transfer within the group but also leads to scale-free correlation within the swarm. Our study highlights the practicability of interaction governed by the neighbor's body orientation change in swarm robotics and the effect of scale-free correlation in enhancing collective response.

摘要

集体运动,如搅拌、聚集和集体转向,是自然界中一种常见且引人入胜的现象,它出现在使用局部相互作用机制的许多自主个体的群体中。最近,基于视觉的机制已经被应用于建模和更好地理解集体运动的出现,这些机制通过建立视觉输入与运动决策之间的关系。然而,以前的研究通常将视觉输入特征化为瞬态的布尔型类似感觉流,这使得捕捉邻居的显著运动变得困难。这进一步阻碍了基于视觉的机制中集体响应的开始,并增加了对机器人群中视觉感测设备的需求。基于视觉的机制中用于决策的显式和上下文相关的视觉线索仍然缺乏。在这里,我们假设身体方向变化 (BOC) 是一个显著的视觉线索,用于描述邻居运动的显著程度,从而促进集体响应的出现。为了验证我们的假设,我们通过从个体鱼的视角重建场景,揭示了 BOC 在鱼群集体 U 形转弯行为中的重要作用。我们发现,BOC 较大的个体通常在转弯中扮演主导角色。为了进一步探索这一经验发现,我们在 BOC 的基础上建立了一个成对的相互作用机制。然后,我们使用实时物理模拟器进行集体自旋和集体转向实验,以研究基于 BOC 的相互作用中的信息传递动力学,并进一步在 50 个真实的微型群机器人上验证其有效性。实验结果表明,基于 BOC 的相互作用不仅促进了群体内部的定向信息传递,而且导致了群体内部的无标度相关性。我们的研究强调了受邻居身体方向变化控制的相互作用在群机器人中的实用性,以及无标度相关性在增强集体响应方面的效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb89/11487077/32ce2eb794fa/41467_2024_53361_Fig1_HTML.jpg

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