群体行为
植绒(纹理)
集体行为
蜂群(蜜蜂)
透视图(图形)
集体运动
计算机科学
复制
人机交互
纳米技术
管理科学
数据科学
集体智慧
群机器人
适应性行为
复杂适应系统
知识管理
人工智能
系统工程
纳米机器人学
自然(考古学)
工程类
认知科学
群体智能
自组织
自组织
作者
Siwen Sun,Bingbing Sun,Alexander B. Cook,Tania Patiño Padial,Jan C. M. van Hest
标识
DOI:10.1002/adma.202515700
摘要
ABSTRACT Collective motion, exemplified by swarming insects, flocking birds, and bacterial colonies, emerges from the synchronized actions and velocity adjustments of individual units. Inspired by these natural phenomena, researchers have sought to replicate and harness collective behavior in swarms of self‐propelled micro/nanomotors. This endeavor is of great importance for the development of multicomponent adaptive systems. Comprising numerous interacting elements, collective swarms exhibit emergent behaviors that capitalize on multi‐motor cooperation, enabling highly efficient, flexible, and robust group performance. Understanding and engineering these behaviors are essential for translating them into practical applications. This review examines the driving forces underlying collective motion, outlines various modes of swarm formation across different dimensions, and highlights representative applications. By linking driving forces, system dimensionality, and functional implementation, it provides a comprehensive perspective on this field.
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