群体行为
机器人
群机器人
计算机科学
多细胞生物
集体行为
分布式计算
人工智能
人机交互
生命系统
比例(比率)
生物
物理
生物化学
量子力学
社会学
人类学
基因
作者
Michael Rubenstein,Alejandro Donohué-Cornejo,Radhika Nagpal
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2014-08-14
卷期号:345 (6198): 795-799
被引量:1221
标识
DOI:10.1126/science.1254295
摘要
Self-assembly enables nature to build complex forms, from multicellular organisms to complex animal structures such as flocks of birds, through the interaction of vast numbers of limited and unreliable individuals. Creating this ability in engineered systems poses challenges in the design of both algorithms and physical systems that can operate at such scales. We report a system that demonstrates programmable self-assembly of complex two-dimensional shapes with a thousand-robot swarm. This was enabled by creating autonomous robots designed to operate in large groups and to cooperate through local interactions and by developing a collective algorithm for shape formation that is highly robust to the variability and error characteristic of large-scale decentralized systems. This work advances the aim of creating artificial swarms with the capabilities of natural ones.
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