摘要翻译：
我们确定了仿生人工伪装系统的组成部分，包括驱动、传感和分布式计算。在总结了了解各种生物系统的生理学和系统级性能的最新成果之后，我们描述了能够产生类似模式并具有分布式实现潜力的计算算法。我们发现，现有的工作主要以孤立的方式对待组件技术，从而排除了无标度和健壮的类似材料的实现。我们总结了实现综合伪装解决方案的开放性研究挑战。
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英文标题：
《From Natural to Artificial Camouflage: Components and Systems》
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作者：
Yang Li, Nikolaus Correll
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最新提交年份：
2018
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Robotics        机器人学
分类描述：Roughly includes material in ACM Subject Class I.2.9.
大致包括ACM科目I.2.9类的材料。
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一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  We identify the components of bio-inspired artificial camouflage systems including actuation, sensing, and distributed computation. After summarizing recent results in understanding the physiology and system-level performance of a variety of biological systems, we describe computational algorithms that can generate similar patterns and have the potential for distributed implementation. We find that the existing body of work predominately treats component technology in an isolated manner that precludes a material-like implementation that is scale-free and robust. We conclude with open research challenges towards the realization of integrated camouflage solutions.
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PDF链接：
https://arxiv.org/pdf/1809.04171