The statistical dynamics of programmed self-assembly

被引：32
作者：
Napp, Nils [1 ]
Burden, Samuel [1 ]
Klavins, Eric [1 ]
机构：
[1] Univ Washington, Dept Elect Engn, Seattle, WA 98195 USA
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10 | 2006年
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/ROBOT.2006.1641916
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We describe how a graph grammar program for robotic self-assembly, together with measurements of kinetic rate data yield a Markov Process model of the dynamics of programmed self-assembly. We demonstrate and validate the method by applying it to a physical testbed consisting of a number of "programmable parts", which are able to control their local interactions according to their on-board programs. We describe a technique for obtaining kinetic rate constants from simulation and a comparison of the behavior predicted by the Markov model with the behavior predicted by a high-fidelity simulation of the system.
引用
收藏
页码：1469 / +
页数：2
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