群体行为
计算机科学
过程(计算)
生命系统
细胞自动机
纳米技术
合成生物学
机器人
仿生学
模板
人工智能
人机交互
分布式计算
生物
生物信息学
材料科学
操作系统
作者
Douglas Blackiston,Emma K. Lederer,Sam Kriegman,Simon Garnier,Joshua Bongard,Michael Levin
出处
期刊:Science robotics
[American Association for the Advancement of Science (AAAS)]
日期:2021-03-17
卷期号:6 (52)
被引量:125
标识
DOI:10.1126/scirobotics.abf1571
摘要
Robot swarms have, to date, been constructed from artificial materials. Motile biological constructs have been created from muscle cells grown on precisely shaped scaffolds. However, the exploitation of emergent self-organization and functional plasticity into a self-directed living machine has remained a major challenge. We report here a method for generation of in vitro biological robots from frog (Xenopus laevis) cells. These xenobots exhibit coordinated locomotion via cilia present on their surface. These cilia arise through normal tissue patterning and do not require complicated construction methods or genomic editing, making production amenable to high-throughput projects. The biological robots arise by cellular self-organization and do not require scaffolds or microprinting; the amphibian cells are highly amenable to surgical, genetic, chemical, and optical stimulation during the self-assembly process. We show that the xenobots can navigate aqueous environments in diverse ways, heal after damage, and show emergent group behaviors. We constructed a computational model to predict useful collective behaviors that can be elicited from a xenobot swarm. In addition, we provide proof of principle for a writable molecular memory using a photoconvertible protein that can record exposure to a specific wavelength of light. Together, these results introduce a platform that can be used to study many aspects of self-assembly, swarm behavior, and synthetic bioengineering, as well as provide versatile, soft-body living machines for numerous practical applications in biomedicine and the environment.
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