An Algorithmic Framework for Shape Formation Problems in Self-Organizing Particle Systems

An Algorithmic Framework for Shape Formation Problems in Self-Organizing Particle Systems
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自组织粒子系统中形状形成问题的算法框架

DOI:
10.1145/2800795.2800829
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发表时间:
2015
期刊:
Proceedings of the Second Annual International Conference on Nanoscale Computing and Communication
影响因子:
--
通讯作者:
Thim Strothmann
Thim Strothmann
中科院分区:
--
文献类型:
--
作者:
Zahra Derakhshandeh;Robert Gmyr;Andrea W. Richa;Christian Scheideler;Thim Strothmann

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本材料基于正在进行的工作。想象一下,我们有一块物质,可以根据用户输入或自主传感以可编程方式改变其物理属性,如形状、密度、电导率或颜色。这就是通常所说的可编程物质背后的愿景。可编程物质是最近许多新颖的分布式计算提案的主题——从DNA瓦片、变形分子和合成细胞到可重新配置的模块化机器人——每个提案都在寻求针对具有自己的特殊功能和限制的特定应用场景的解决方案。
This material is based on work in progress. Imagine that we had a piece of matter that can change its physical properties like shape, density, conductivity, or color in a programmable fashion based on either user input or autonomous sensing. This is the vision behind what is commonly known as programmable matter. Programmable matter is the subject of many recent novel distributed computing proposals --- ranging from DNA tiles, shape-changing molecules, and synthetic cells, to reconfigurable modular robotics --- each pursuing solutions for specific application scenarios with their own, special capabilities and constraints.
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