BIC: Programmable Myriads: self-assembling cellular robots, inspired by tissue morphogenesis

BIC：Programmable Myriads：受组织形态发生启发的自组装细胞机器人

• 批准号: 0523676
• 负责人: Radhika Nagpal
• 金额: --
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-15 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0523676&HistoricalAwards=false
• 关键词: BIC; Programmable; Myriads; self; assembling

The goal of this proposal is to develop new computational paradigms for self-assembly, inspired by how living cells self-assemble highly patterned but adaptive three-dimensional (3D) structures during tissue morphogenesis. We will apply these paradigms to engineer man-made systems that require decentralized coordination and structure formation - for example, programming swarms of robots that assemble temporary scaffolds, space enclosures, and physical distribution networks that may be used for various construction and industrial applications in the future. We will also apply these models to directly study tissue morphogenesis - for example, to investigate how local mechanical and chemical cues can cause global adaptation of tissue morphology and even switching of morphology in endothelial cells. Through this effort, we aim to better understand how genetic information and environmental cues combine at the agent ("cell") level, to generate structures that exhibit optimized form and function at the whole-system level.

该提案的目标是开发用于自组装的新计算范例，其灵感来自于活细胞如何在组织形态发生期间自组装高度图案化但自适应的三维（3D）结构。我们将应用这些范例来设计需要分散协调和结构形成的人造系统-例如，对组装临时脚手架的机器人群进行编程，空间封闭，以及未来可能用于各种建筑和工业应用的物理分配网络。我们还将应用这些模型直接研究组织形态发生-例如，研究局部机械和化学线索如何引起组织形态的全局适应，甚至内皮细胞形态的转换。通过这一努力，我们的目标是更好地了解遗传信息和环境线索如何在代理（“细胞”）水平上结合联合收割机，以产生在整个系统水平上表现出优化形式和功能的结构。