Molecular robots guided by prescriptive landscapes.
Molecular robots guided by prescriptive landscapes.
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作者：
传统的机器人依靠计算来协调感知和执行部件，并存储其目标和环境的内部表示。任何基于单分子的机器人技术的实现都必须克服单个分子存储复杂程序的有限能力，例如，使用从简单机器人与其环境的交互中获得复杂行为的体系结构。之前对DNA步行器的研究集中在从非自主系统向一维轨迹上定向但短暂的运动的过渡。在这里，我们从含有脱氧核酶的随机步行者和精确定义的环境之间的相互作用中获得基本的机器人行为。使用单分子显微镜，我们证明了这种步行者通过感知和修改他们的环境来实现方向性，遵循二维DNA折纸景观上的识别元件(面包屑)的痕迹。这些分子机器人自主地执行一系列的动作，如“开始”、“跟随”、“转向”和“停止”，从而通过加入额外的控制机制，为在分子水平上合成更复杂的机器人行为奠定了基础。例如，多个分子机器人之间的相互作用可能导致集体行为，而阅读和转换景观上的次要线索的能力可能为图灵通用算法行为提供一种机制。
Traditional robots rely on computing to coordinate sensing and actuating components and to store internal representations of their goals and environment. Any implementation of single-molecule based robotics must overcome the limited ability of individual molecules to store complex programs and, for example, use architectures that obtain complex behaviors from the interaction of simple robots with their environment. Previous research in DNA walkers focused on transitioning from non-autonomous systems to directed but brief motion on one-dimensional tracks. Herein, we obtain elementary robotic behaviors from the interaction between a random walker incorporating deoxyribozymes and a precisely defined environment. Using single-molecule microscopies we demonstrate that such walkers achieve directionality by sensing and modifying their environment, following trails of recognition elements (“bread crumbs”) laid out on a two-dimensional DNA origami landscape. These molecular robots autonomously carry out sequences of actions such as “start”, “follow”, “turn”, and “stop”, thus laying the foundation for the synthesis of more complex robotic behaviors at the molecular level by incorporating additional layers of control mechanisms. For example, interactions between multiple molecular robots could lead to collective behavior, while the ability to read and transform secondary cues on the landscape could provide a mechanism for Turing-universal algorithmic behavior.
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DOI：
10.1073/pnas.94.9.4262
发表时间：
1997-04-29
影响因子：
11.1
作者：
Santoro, SW;Joyce, GF
通讯作者：
Joyce, GF
影响因子：
16.6
作者：
Bath, J;Green, SJ;Turberfield, AJ
通讯作者：
Turberfield, AJ
影响因子：
2.4
作者：
Antal, Tibor;Krapivsky, P. L.
通讯作者：
Krapivsky, P. L.
DOI：
10.1126/science.1170336
发表时间：
2009-04-03
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Omabegho T;Sha R;Seeman NC
通讯作者：
Seeman NC
影响因子：
64.8
作者：
Rothemund, PWK
通讯作者：
Rothemund, PWK