Algorithms for Programmable Matter in a Physiological Medium

生理介质中可编程物质的算法

• 批准号: 406519795
• 负责人: Professor Dr. Christian Scheideler
• 金额: --
• 依托单位: Fachgruppe Theorie verteilter Systeme
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/406519795?language=en
• 关键词: Algorithms; Programmable; Matter; Physiological; Medium

In general, programmable matter is any matter that has the ability to change its physical properties (like shape, density, moduli, conductivity, optical properties, etc.) based on user input or autonomous sensing. We are particularly interested in programmable matter composed of nano-robots. Nano-robotics is a rapidly growing interdisciplinary field addressing the assembly and utilization of molecular devices based on nano-scale principles. However, so far there does not exist any particular guideline for designing a nano-robot. Hence now is the ideal time to investigate reasonable models and primitives to rigorously study their algorithmic power. Key applications to nano-robotics are medical target identification, targeted drug delivery, and minimal invasive surgery, to name a few. In all of these medical applications, a swarm of nano-robots acts in the human bloodstream, which is why we are focusing on models and algorithms for nano-robotic swarms in a physiological medium. Besides rigorously designing and evaluating models and efficient algorithms for programmable matter, we will also focus on various extensions such as robustness and hybrid approaches (i.e. programmable matter consisting of active and passive elements).

一般来说，可编程物质是任何能够改变其物理特性（如形状，密度，模量，导电性，光学特性等）的物质。基于用户输入或自主感测。我们对由纳米机器人组成的可编程物质特别感兴趣。纳米机器人是一个快速发展的跨学科领域，解决组装和利用分子器件的基础上纳米尺度的原则。然而，到目前为止，还没有任何特定的指导方针，设计一个纳米机器人。因此，现在是研究合理的模型和原语以严格研究其算法能力的理想时机。纳米机器人的关键应用是医疗目标识别，靶向药物输送和微创手术，仅举几例。在所有这些医疗应用中，一群纳米机器人在人类血液中起作用，这就是为什么我们专注于生理介质中纳米机器人群的模型和算法。除了严格设计和评估可编程物质的模型和有效算法外，我们还将专注于各种扩展，如鲁棒性和混合方法（即由有源和无源元件组成的可编程物质）。