CAREER: Dynamics and Control of Motion Coordination for Information Transmission in Groups

职业：群体信息传输运动协调的动力学和控制

• 批准号: 0954361
• 负责人: Derek Paley
• 金额: $ 40万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-04-01 至 2015-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0954361&HistoricalAwards=false
• 关键词: CAREER; Dynamics; Control; Motion; Coordination

The long-term goal of this CAREER project is to improve our understanding of information transmission in biological groups and apply this understanding to synthesize bio-inspired motion- coordination algorithms for autonomous vehicles. How do schooling fish respond collectively to an external stimulus that is perceived by only a few individuals? How might we enable a fleet of autonomous vehicles to coordinate their movement using only sensory perception? In pursuit of this goal, the research objectives are (1) to use tools from estimation theory and computer vision to perform quantitative analysis of collective behavior in schooling fish; (2) to conduct laboratory experiments to test the hypothesis that schooling fish use motion coordination to amplify external signals and attenuate noise; (3) to construct an analytical modeling framework for information transfer in a kinetic interaction network; and (4) to synthesize bio-inspired motion-coordination algorithms using nonlinear-control tools.The long-term educational goal of the PI is to cultivate an engaging environment for creative, rigorous application of dynamics and control theory that propels a diverse population of students to pursue STEM education and careers. In pursuit of this goal, the educational objectives are (1) to conduct K-12 outreach activities that broaden the STEM participation of minorities and women; (2) to pioneer a K-12 outreach framework that uses the topic of collective behavior in fish to create a partnership with a middle-school educator; and (3) to provide research experiences for aerospace undergraduate students.The broader significance and importance of the proposed research activities lie in the promise of improved understanding of collective behavior in biological groups and improved capacity to model and synthesize collective motion in engineered networks. Improved tools for tracking biological aggregations can be used to understand mosquito swarms in malarial regions; to monitor the role of krill swarms in carbon sequestration; and to assess the impact of bacterial aggregations on human disease processes. Research in biologically inspired coordination of unmanned systems has applications in the inspection of aging civil infrastructure; improved forecasts of hurricane intensity; and environmental monitoring of climate variability. It is not presently understood what motion coordination strategies yield fast and accurate information transmission in biological systems because sufficient data to quantitatively analyze and model three-dimensional motion in large groups are not available. The proposed fish-tracking research will yield new tools for automated, three-dimensional trajectory reconstruction of the position, orientation, and shape of individual fish in a high-density school.

这个CAREER项目的长期目标是提高我们对生物群体中信息传输的理解，并将这种理解应用于合成自动驾驶汽车的生物启发运动协调算法。鱼群如何集体地对只有少数个体感知到的外部刺激做出反应？我们如何才能让一支自动驾驶车队仅使用感官知觉来协调它们的运动？为此，本研究的主要目的是：（1）利用估计理论和计算机视觉等工具，对集群鱼类的群体行为进行定量分析;（2）通过实验室实验，验证集群鱼类利用运动协调来放大外部信号和衰减噪声的假设;（3）构建动力学交互网络中信息传递的分析建模框架;以及（4）使用非线性控制工具合成生物启发的运动协调算法。PI的长期教育目标是培养一个有吸引力的环境，以创造性地，严格地应用动力学和控制理论，推动多样化的学生群体追求STEM教育和职业。为实现这一目标，教育目标是：（1）开展K-12外联活动，扩大少数民族和妇女对STEM的参与;（2）开创K-12外联框架，利用鱼类集体行为的主题与中学教育工作者建立伙伴关系;以及（3）为航空航天本科生提供研究经验。拟议的研究活动的更广泛的意义和重要性在于提高对集体知识的理解，生物群体中的行为，并提高了在工程网络中建模和合成集体运动的能力。追踪生物聚集的改进工具可用于了解疟疾地区的蚊群;监测磷虾群在碳固存中的作用;以及评估细菌聚集对人类疾病进程的影响。在无人系统的生物启发协调方面的研究可应用于检查老化的民用基础设施;改进飓风强度的预测;以及对气候变化的环境监测。目前还不清楚什么样的运动协调策略在生物系统中产生快速和准确的信息传输，因为没有足够的数据来定量分析和建模大群体中的三维运动。 拟议的鱼类跟踪研究将产生新的工具，用于自动化，三维轨迹重建的位置，方向和形状的个别鱼在一个高密度的学校。