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自主机器人集群中协同运输的机械途径。

A mechanical route for cooperative transport in autonomous robotic swarms.

作者信息

Arbel Eden, Buise Luco, van Waes Charlotte, Oppenheimer Naomi, Lahini Yoav, Ben Zion Matan Yah

机构信息

School of Physics and Astronomy, and the Center for Physics and Chemistry of Living Systems, Tel Aviv University, Tel Aviv, Israel.

Department of Artificial Intelligence, Donders Center for Cognition, Radboud University, Nijmegen, The Netherlands.

出版信息

Nat Commun. 2025 Sep 2;16(1):7519. doi: 10.1038/s41467-025-61896-7.

Abstract

Cooperative transport is a striking phenomenon where multiple agents join forces to transit a payload too heavy for the individual. While social animals such as ants are routinely observed to coordinate transport at scale, reproducing the effect in artificial swarms remains challenging, as it requires synchronization in a noisy many-body system. Here we show that cooperative transport spontaneously emerges in swarms of stochastic self-propelled robots. Robots deprived of sensing and communication, are isotropically initialized around a passive circular payload, where directional motion is not expected without an external cue. And yet it moves. We find that a minute modification to the mechanical design of the individual agent dramatically changes its alignment response to an external force. We then show experimentally that by controlling the individual's friction and mass distribution, a swarm of active particles autonomously cooperates in the directional transport of larger objects. Surprisingly, transport increases with increasing payload size, and its persistence surpasses the persistence of the active particles by over an order of magnitude. A mechanical, coarse-grained description reveals that force-alignment is intrinsic and captured by a signed, charge-like parameter with units of curvature. Numerical simulations of swarms of active particles with a negative active charge corroborate the experimental findings. We analytically derive a geometrical criterion for cooperative transport which results from a bifurcation in a non-linear dynamical system. Our findings generalize existing models of active particles, provide design rules for distributed robotic systems, and shed light on cooperation in natural swarms.

摘要

协同运输是一种引人注目的现象,即多个主体联合起来运输对单个主体来说过重的负载。虽然像蚂蚁这样的群居动物经常被观察到能大规模地协调运输,但在人工群体中重现这种效果仍然具有挑战性,因为这需要在一个嘈杂的多体系统中实现同步。在这里,我们展示了协同运输在随机自驱动机器人群体中自发出现。被剥夺了传感和通信能力的机器人在一个被动的圆形负载周围各向同性地初始化,在没有外部线索的情况下,预计不会有定向运动。然而它却移动了。我们发现,对单个主体的机械设计进行微小修改会显著改变其对外力的排列响应。然后我们通过实验表明,通过控制个体的摩擦力和质量分布,一群活性粒子能在更大物体的定向运输中自主协作。令人惊讶的是,运输随着负载尺寸的增加而增加,并且其持续性比活性粒子的持续性高出一个数量级以上。一种机械的、粗粒度的描述表明,力排列是内在的,并且由一个具有曲率单位的带符号的、类似电荷的参数所捕捉。具有负活性电荷的活性粒子群体的数值模拟证实了实验结果。我们从解析上推导出了一个协同运输的几何标准,它源于一个非线性动力系统中的分岔。我们的发现推广了现有的活性粒子模型,为分布式机器人系统提供了设计规则,并揭示了自然群体中的协作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/556c/12405608/d8cf5da65425/41467_2025_61896_Fig1_HTML.jpg

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