NetSE: Small:Autonomous Wireless Swarms: Integrating Science and Engineering

NetSE：小型：自主无线群：科学与工程的结合

• 批准号: 0916035
• 负责人: Chien-Chung Shen
• 金额: $ 44.2万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0916035&HistoricalAwards=false
• 关键词: NetSE; Small; Autonomous; Wireless; Swarms

This project will advance the understanding of swarms of simple vehicles that can collectively accomplish complex tasks. Prof. Rossi and Shen take their inspiration from social animals such as flocks of birds and schools of fish that communicate using simple rules to coordinate motion and make decisions for the entire group. There can be significant differences between rules found in biology and technological applications. For instance, birds coordinate motion with visual cues whereas networked robots coordinate activities using wireless communication. These two types of communication provide different kinds of information and have different limitations. Profs. Shen and Rossi are particularly interested in autonomous underwater vehicles because they face the challenge of low or irregular communication quality and poor position information.Profs. Shen and Rossi will combine mathematical modeling and analysis with engineering applications to study specific problems. First, they will explore leadership within swarms to understand how small numbers of individuals within a swarm can shape decision making for the entire group. Second, they will study swarm behavior in the presence of background flows to understand how currents can distort or disassemble swarms that would be effective in calm conditions. Third, they will study threat avoidance strategies to understand how complex motion can protect a swarm when individual evasion is impossible. Finally, they will study coordinated detection of a scalar field such as nutrients or contaminants in the ocean. Profs. Shen and Rossi will create an interdisciplinary research team around these problems involving students from both mathematics and computer science.

该项目将增进对可以集体完成复杂任务的简单车辆群的理解。 罗西和沉教授的灵感来自群居动物，例如鸟群和鱼群，它们使用简单的规则进行交流，以协调运动并为整个群体做出决策。 生物学和技术应用中发现的规则之间可能存在显着差异。 例如，鸟类通过视觉提示协调运动，而网络机器人则使用无线通信协调活动。 这两种类型的通信提供不同类型的信息并具有不同的限制。教授。 Shen 和 Rossi 对自主水下航行器特别感兴趣，因为它们面临着通信质量低或不稳定以及位置信息差的挑战。 Shen和Rossi将把数学建模和分析与工程应用相结合来研究具体问题。 首先，他们将探索群体中的领导力，以了解群体中的少数个体如何影响整个群体的决策。 其次，他们将研究存在背景水流的群体行为，以了解水流如何扭曲或分解在平静条件下有效的群体。 第三，他们将研究威胁规避策略，以了解当个体无法规避时复杂的运动如何保护群体。 最后，他们将研究标量场的协调检测，例如海洋中的营养物或污染物。 教授。 Shen 和 Rossi 将围绕这些问题创建一个跨学科研究团队，涉及数学和计算机科学的学生。