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
人类学
基因
物理
社会学
量子力学
生物化学
作者
Michael Rubenstein,Alejandro Cornejo,Radhika Nagpal
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2014-08-15
卷期号:345 (6198): 795-799
被引量:1008
标识
DOI:10.1126/science.1254295
摘要
Large-scale robotic self-assembly When individuals swarm, they must somehow communicate to direct collective motion. Swarms of robots need to deal with outliers, such as robots that move more slowly than the rest. Rubenstein et al. created a large swarm of programmed robots that can form collaborations using only local information. The robots could communicate only with nearby members, within about three times their diameter. They were able to assemble into complex preprogrammed shapes. If the robots' formation hit snags when they bumped into one another or because of an outlier, additional algorithms guided them to rectify their collective movements. Science , this issue p. 795
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