从传统物质系统到可编程物质系统:设计、材料和技术综述

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Ahmed Amine Chafik, Jaafar Gaber, Souad Tayane, Mohamed Ennaji, Julien Bourgeois, Tarek El-Ghazawi
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引用次数: 0

摘要

可编程物质是一个由元素组成的系统,通过改变其物理特性,在适当的指令(如指令、刺激)下,可对其相互作用进行编程,以产生某种行为(如颜色、形状)。尽管可编程物质的称谓可能指的是一种可变形的物理材料,但可编程物质已从不同角度(如机器人、智能材料)通过几种方法得到了体现,它们追求的目标是一致的:可控行为,如智能形状改变。研究人员、工程师和艺术家都对开发智能造型粘土表示出浓厚的兴趣,将其作为传统物质和传统原型制作方法的新替代品。今后,用户将能够根据计算数据(计算机辅助设计)或互动(传感器)完成/取消/重做造型,这将帮助他们释放更多的功能,提高产品的实用性。然而,面对这样一项前景广阔的技术,还有许多挑战需要解决,因为可编程物质依赖于能源消耗、数据传输、刺激控制和形状形成机制。此外,打着可编程物质旗号的设备和技术层出不穷,可能会给控制策略带来不确定性。在本研究中,我们确定了形成形状所需的基本操作,然后回顾了利用可编程物质的形状变换能力实现的不同方案、它们的拟合分类,最后讨论了潜在的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From conventional to programmable matter systems: A review of design, materials, and technologies

Programmable matter represents a system of elements whose interactions can be programmed for a certain behavior to emerge (e.g. color, shape) upon suitable commands (e.g., instruction, stimuli) by altering its physical characteristics. Even though its appellation may refer to a morphable physical material, programmable matter has been represented through several approaches from different perspectives (e.g., robots, smart materials) that seek the same objective: controllable behavior such as smart shape alteration. Researchers, engineers, and artists have expressed interest in the development of smart modeling clay as a novel alternative to conventional matter and classical means of prototyping. Henceforth, users will be able to do/undo/redo forms based on computed data (CAD) or interactions (sensors), which will help them unlock more features and increase the usefulness of their products. However, with such a promising technology, many challenges need to be addressed, as programmable matter relies on energy consumption, data transmission, stimuli control, and shape formation mechanisms. Furthermore, numerous devices and technologies are created under the name of programmable matter, which may pose ambiguity to the control strategies. In this study, we determine the basic operations required to form a shape, then review different realizations using the shape shifting ability of programmable matter, their fitting classifications, and finally discuss potential challenges.

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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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