BRIGE: Developing a model of collective behavior in bat swarms using acoustic communication and applications in robotic systems
BRIGE:利用声学通信和机器人系统中的应用开发蝙蝠群集体行为模型
基本信息
- 批准号:1342176
- 负责人:
- 金额:$ 17.39万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-09-01 至 2017-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Technical Description: This Broadening Participation Research Initiation Grant in Engineering (BRIGE) provides funding to study coordination in multi-agent systems with active sensing inspired by echolocation. This work will enable the design of engineering systems in which mobile sensing units synthesize pairwise and broadcast communication towards an untapped group-level decision-making scheme. Bats, which use echolocation to swarm, will be taken as a model system based on their unique sensing capabilities. This modeling framework will include constructive and destructive outcomes of active sensing, which is an untapped problem in the literature. Research questions will center on the notion of a multi-agent system model that uses active sensing to increase coordination, gains energetic advantages from group behavior, and avoids destructive interference between peers. The effect of such communication strategies on information sharing will be explored from the perspective of agent-based modeling and network-based algorithms for coordination over dynamic interaction topologies. The model will be validated using experimental observations on wild bat swarms and results will be translated to experiments on sensorized mobile robots designed to mimic and encode active acoustic communication underlying bat swarms. Broader Significance and Importance: Systems comprising many units- such as autonomous cars driving in a caravan, computers communicating over a network, or underwater gliders monitoring ocean currents in a team- are pervasive in engineering. As a result, engineers across disciplines are challenged to discover how to coordinate units in these systems to achieve the team?s larger goal. Such large-scale coordination tasks are well executed in nature by animal groups exhibiting collective behavior, such as fish schools and bird flocks. This BRIGE project aims to model coordination in a system of units equipped with a novel type of communication, inspired by echolocation in bats, where interaction with the environment is achieved using active sensing, rather than passive sensing such as vision. We will use the outcomes of this model to inform algorithms for teams of specialized robots and we will compare our results to wild bat swarms. The results of this BRIGE project will potentially lead to new ways to engineer systems with many units by capturing salient aspects of these unique animal groups.Broadening Participation of Underrepresented Groups in Engineering:Research efforts will be translated to broadening participation activities introducing K-12 students to the ubiquitous concept of coordination in engineered systems. The PI will create a girls? robotics team, mentored by female undergraduate students, to participate in annual LEGO robotics competitions. Participants will be assessed to determine if the activity correlates with changes in academic STEM performance. A local nature center will also be a forum to design and deliver engineering activities for the public on bat-inspired robotics, which will capitalize on the project?s research at the interface of engineering and biology to engage young participants in biologically-inspired design. The project will broaden the participation of underrepresented groups in engineering through both the robotics activity, which is aimed at girls, and through the program at the nature center, which seeks to engage children with interests in nature and conservation.This research has been funded through the Broadening Participation Research Initiation Grants in Engineering solicitation, which is part of the Broadening Participation in Engineering Program of the Engineering Education and Centers Division.
技术描述:这项扩大参与研究启动工程补助金(bridge)为研究受回声定位启发的主动感知的多智能体系统中的协调提供资金。这项工作将使工程系统的设计成为可能,其中移动传感单元成对合成和广播通信,以实现尚未开发的群体一级决策方案。利用回声定位蜂群的蝙蝠,将以其独特的感知能力作为模型系统。该建模框架将包括主动感知的建设性和破坏性结果,这是文献中尚未开发的问题。研究问题将集中在多智能体系统模型的概念上,该模型使用主动感知来增加协调,从群体行为中获得能量优势,并避免同伴之间的破坏性干扰。这种通信策略对信息共享的影响将从基于代理的建模和基于网络的动态交互拓扑协调算法的角度进行探讨。该模型将通过对野生蝙蝠群的实验观察进行验证,结果将转化为设计用于模拟和编码蝙蝠群中主动声学通信的传感移动机器人的实验。更广泛的意义和重要性:由许多单元组成的系统——比如在大篷车中驾驶的自动驾驶汽车,通过网络通信的计算机,或者在团队中监测洋流的水下滑翔机——在工程中无处不在。因此,各个学科的工程师都面临着挑战,他们要发现如何协调这些系统中的单元以实现团队的目标?更大的目标。这种大规模的协调任务在自然界中是由表现出集体行为的动物群体很好地执行的,比如鱼群和鸟群。这个bridge项目的目标是在一个配备了新型通信的单元系统中建立协调模型,该系统的灵感来自蝙蝠的回声定位,其中与环境的互动是通过主动感知来实现的,而不是像视觉这样的被动感知。我们将使用这个模型的结果来告知专业机器人团队的算法,我们将把我们的结果与野生蝙蝠群进行比较。这个bridge项目的结果可能会通过捕捉这些独特动物群体的突出方面,为设计具有许多单元的系统提供新的方法。扩大工程中代表性不足群体的参与:研究工作将转化为扩大参与活动,向K-12学生介绍工程系统中无处不在的协调概念。PI会创造一个女孩?机器人团队,由女本科生指导,参加年度乐高机器人大赛。参与者将被评估,以确定该活动是否与STEM学业成绩的变化相关。当地的一个自然中心也将成为一个论坛,为公众设计和提供有关蝙蝠机器人的工程活动,这将利用该项目。在工程和生物学的界面研究,以吸引年轻的参与者在生物启发的设计。该项目将通过针对女孩的机器人活动和旨在吸引对自然和保护感兴趣的儿童的自然中心项目,扩大未被充分代表的群体在工程领域的参与。这项研究是由工程教育和中心部的工程项目扩大参与计划的一部分,即工程项目扩大参与研究启动基金资助的。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Nicole Abaid其他文献
Nicole Abaid的其他文献
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{{ truncateString('Nicole Abaid', 18)}}的其他基金
Collaborative Research: The Role of Stress in Human Crowd Dynamics during Emergency Situations
合作研究:紧急情况下压力在人群动态中的作用
- 批准号:
2308753 - 财政年份:2023
- 资助金额:
$ 17.39万 - 项目类别:
Standard Grant
CAREER: Collective behavior in multi-agent systems with active sensing
职业:具有主动感知的多智能体系统中的集体行为
- 批准号:
1751498 - 财政年份:2018
- 资助金额:
$ 17.39万 - 项目类别:
Standard Grant
EAGER: Model-Free Classification of Collective Behavior Based on Automated Detection of Symmetry from Video Data
EAGER:基于视频数据对称性自动检测的集体行为的无模型分类
- 批准号:
1708622 - 财政年份:2017
- 资助金额:
$ 17.39万 - 项目类别:
Standard Grant
EEG-Based Control of Working Memory Maintenance Using Closed Loop Binaural Stimulation
使用闭环双耳刺激进行基于脑电图的工作记忆维护控制
- 批准号:
1604279 - 财政年份:2016
- 资助金额:
$ 17.39万 - 项目类别:
Standard Grant
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