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水动力在鱼群集体运动和仿生水下机器人中的作用。

The role of hydrodynamics in collective motions of fish schools and bioinspired underwater robots.

机构信息

Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USA.

Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.

出版信息

J R Soc Interface. 2023 Oct;20(207):20230357. doi: 10.1098/rsif.2023.0357. Epub 2023 Oct 25.

Abstract

Collective behaviour defines the lives of many animal species on the Earth. Underwater swarms span several orders of magnitude in size, from coral larvae and krill to tunas and dolphins. Agent-based algorithms have modelled collective movements of animal groups by use of , which approximate the behaviour of individual animals. But details of how swarming individuals interact with the fluid environment are often under-examined. How do fluid forces shape aquatic swarms? How do fish use their flow-sensing capabilities to coordinate with their schooling mates? We propose viewing underwater collective behaviour from the framework of , which considers both physical interactions and information transfer in fluid environments. Understanding the role of hydrodynamics in aquatic collectives requires multi-disciplinary efforts across fluid mechanics, biology and biomimetic robotics. To facilitate future collaborations, we synthesize key studies in these fields.

摘要

群体行为决定了地球上许多动物物种的生活。水下群体的规模跨越了几个数量级,从珊瑚幼虫和磷虾到金枪鱼和海豚。基于主体的算法通过使用个体动物行为的近似方法来模拟动物群体的集体运动。但是,关于群体中个体如何与流体环境相互作用的细节通常没有得到充分研究。流体力如何塑造水生群体?鱼类如何利用其感流能力与同类协调?我们提出从考虑流体环境中的物理相互作用和信息传递的角度来看待水下群体行为。理解水动力在水生群体中的作用需要跨流体力学、生物学和仿生机器人学的多学科努力。为了促进未来的合作,我们综合了这些领域的关键研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/10598440/27864c53bcf9/rsif20230357f01.jpg

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