CAREER: Toward Autonomous Decision Making and Coordination in Intelligent Unmanned Aerial Vehicles' Operation in Dynamic Uncertain Remote Areas
职业:在动态不确定的偏远地区实现智能无人机操作的自主决策和协调
基本信息
- 批准号:2034218
- 负责人:
- 金额:$ 54.19万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-08-15 至 2022-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Unmanned aerial vehicles (UAVs) have been increasingly utilized in several commercial and civil applications such as package delivery, traffic monitoring, precision agriculture, remote sensing, border patrol, hazard monitoring, disaster relief, and search and rescue operations to collect data/imagery for a ground command station nearby. Current implementations of UAV-based operations heavily rely on control, inference, task allocation, and planning from a human controller that can limit the operation of drones in missions where the operation field is not fully observable to the human controller prior to the mission and reliable and continuous communication is not available between the UAVs and the ground station or among the teammate UAVs during the mission. The UAVs can be particularly useful in such unstructured and unknown environments to provide agile surveying or search-and-rescue operations. Therefore, the future of UAV technology focuses on the development of small, low-cost, and smart drones with a higher level of autonomy. Such drones can facilitate a wide range of sophisticated missions performed by a fleet of cooperative UAVs with minimum human intervention and lower cost. The objective of this research is to develop theoretical and practical frameworks for operation, situational awareness, coordination, and communication of a network of fully autonomous multi-agent systems (e.g., UAVs) in dynamic and unknown environments with minimum human interventions. This research can facilitate a new set of applications for autonomous multi-agent systems in remote and dynamic environments. This project involves an integrated set of research, implementation, and experimental validation thrusts to develop novel frameworks for autonomous decision making, coalition formation, coordination, spectrum management, and task allocation in UAV systems. The developed techniques can be utilized in other multi-agent cognitive systems such as robotic systems, and autonomous driving vehicles where quick search, surveillance, and reactions are required with limited human interventions.This project also offers a number of educational and outreach activities to integrate the results of this research in curriculum enhancement, student mentorship, engaging underrepresented minority and female students, developing hands-on UAV-based sensing experiments for elementary and middle school students and outreach to the community to enhance public awareness about new applications of UAV systems through collaboration with Flagstaff Festival of Science.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
无人机(UAV)越来越多地被用于一些商业和民用应用,如包裹递送、交通监测、精准农业、遥感、边境巡逻、灾害监测、救灾和搜救行动,为附近的地面指挥站收集数据/图像。目前基于无人机的操作的实施在很大程度上依赖于人类控制器的控制、推理、任务分配和规划,这可能会限制无人机在执行任务之前对操作场进行完全可见的任务,并且在执行任务期间无人机与地面站之间或队友无人机之间无法进行可靠和持续的通信。无人机在这种非结构化和未知的环境中可以特别有用,以提供灵活的测量或搜救行动。因此,未来无人机技术的重点是发展小型、低成本、具有更高自主水平的智能无人机。这种无人机可以促进由一支合作无人机机队执行的各种复杂任务,人为干预最少,成本更低。这项研究的目标是在最少的人为干预下,为在动态和未知环境中完全自主的多智能体系统(例如,无人机)的操作、态势感知、协调和通信开发理论和实践框架。该研究为自主多智能体系统在远程动态环境中的应用提供了新的思路。该项目包括一套完整的研究、实施和实验验证推力,以开发无人机系统中自主决策、联盟形成、协调、频谱管理和任务分配的新框架。开发的技术可用于其他多智能体认知系统,如机器人系统和自动驾驶车辆,在这些系统中,需要在有限的人工干预下进行快速搜索、监视和反应。该项目还提供了一些教育和推广活动,以整合这项研究的结果,包括课程改进、学生辅导、吸引代表不足的少数族裔和女性学生,通过与弗拉格斯塔夫科学节的合作,为中小学生开发基于无人机的动手传感实验,并向社区推广,以提高公众对无人机系统新应用的认识。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(12)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
LB-OPAR: Load balanced optimized predictive and adaptive routing for cooperative UAV networks
- DOI:10.1016/j.adhoc.2022.102878
- 发表时间:2022-05-10
- 期刊:
- 影响因子:4.8
- 作者:Gharib, Mohammed;Afghah, Fatemeh;Bentley, Elizabeth Serena
- 通讯作者:Bentley, Elizabeth Serena
UAV-Assisted Communication in Remote Disaster Areas Using Imitation Learning
- DOI:10.1109/ojcoms.2021.3067001
- 发表时间:2021-04
- 期刊:
- 影响因子:7.9
- 作者:Alireza Shamsoshoara;F. Afghah;Erik Blasch;J. Ashdown;M. Bennis
- 通讯作者:Alireza Shamsoshoara;F. Afghah;Erik Blasch;J. Ashdown;M. Bennis
UASTrustChain: A Decentralized Blockchain- Based Trust Monitoring Framework for Autonomous Unmanned Aerial Systems
- DOI:10.1109/access.2020.3044844
- 发表时间:2020
- 期刊:
- 影响因子:3.9
- 作者:Mahsa Keshavarz;Mohammed Gharib;F. Afghah;J. Ashdown
- 通讯作者:Mahsa Keshavarz;Mohammed Gharib;F. Afghah;J. Ashdown
Exploiting Secrecy Performance of Uplink NOMA in Cellular Networks
- DOI:10.1109/access.2021.3092830
- 发表时间:2021
- 期刊:
- 影响因子:3.9
- 作者:M. Nguyen;D. Do;F. Afghah;S. Islam;Anh-Tu Le
- 通讯作者:M. Nguyen;D. Do;F. Afghah;S. Islam;Anh-Tu Le
Heterogeneous Airborne mmWave Cells: Optimal Placement for Power-Efficient Maximum Coverage
异构机载毫米波蜂窝:最佳放置以实现节能的最大覆盖范围
- DOI:10.1109/infocomwkshps54753.2022.9798023
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Namvar, Nima;Afghah, Fatemeh
- 通讯作者:Afghah, Fatemeh
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Fatemeh Afghah其他文献
PyroTrack: Belief-Based Deep Reinforcement Learning Path Planning for Aerial Wildfire Monitoring in Partially Observable Environments
PyroTrack:基于信念的深度强化学习路径规划,用于部分可观测环境中的空中野火监测
- DOI:
10.48550/arxiv.2403.11095 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Sahand Khoshdel;Qi Luo;Fatemeh Afghah - 通讯作者:
Fatemeh Afghah
Fatemeh Afghah的其他文献
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{{ truncateString('Fatemeh Afghah', 18)}}的其他基金
Collaborative Research:CISE-MSI:DP:CNS:Adaptive Multi-Tiered, Multi-Task Base Station Infrastructure For Communication-Denied Environments
合作研究:CISE-MSI:DP:CNS:用于通信被拒绝环境的自适应多层、多任务基站基础设施
- 批准号:
2318726 - 财政年份:2023
- 资助金额:
$ 54.19万 - 项目类别:
Standard Grant
CAREER: Toward Autonomous Decision Making and Coordination in Intelligent Unmanned Aerial Vehicles' Operation in Dynamic Uncertain Remote Areas
职业:在动态不确定的偏远地区实现智能无人机操作的自主决策和协调
- 批准号:
2232048 - 财政年份:2022
- 资助金额:
$ 54.19万 - 项目类别:
Continuing Grant
Collaborative Research: SWIFT: LARGE: AI-Enabled Spectrum Coexistence between Active Communications and Passive Radio Services: Fundamentals, Testbed and Data
合作研究:SWIFT:大型:主动通信和无源无线电服务之间人工智能支持的频谱共存:基础知识、测试平台和数据
- 批准号:
2202972 - 财政年份:2021
- 资助金额:
$ 54.19万 - 项目类别:
Standard Grant
PFI-RP: Design and Fabrication of Hardware-based Security Platform using Fabrication Variability of Ultra low Power Memories
PFI-RP:利用超低功耗存储器的制造可变性设计和制造基于硬件的安全平台
- 批准号:
2204502 - 财政年份:2021
- 资助金额:
$ 54.19万 - 项目类别:
Standard Grant
SCC-PG: Just in Time Intervention for Patients with Chronic Heart Diseases in Arizona tribes
SCC-PG:对亚利桑那州部落慢性心脏病患者进行及时干预
- 批准号:
2125643 - 财政年份:2021
- 资助金额:
$ 54.19万 - 项目类别:
Standard Grant
Collaborative: Smart Health in the AI and COVID Era
协作:人工智能和新冠时代的智能健康
- 批准号:
2120217 - 财政年份:2021
- 资助金额:
$ 54.19万 - 项目类别:
Standard Grant
Collaborative Research: CPS: Medium: Wildland Fire Observation, Management, and Evacuation using Intelligent Collaborative Flying and Ground Systems
协作研究:CPS:中:使用智能协作飞行和地面系统进行荒地火灾观测、管理和疏散
- 批准号:
2039026 - 财政年份:2021
- 资助金额:
$ 54.19万 - 项目类别:
Standard Grant
Collaborative Research: CPS: Medium: Wildland Fire Observation, Management, and Evacuation using Intelligent Collaborative Flying and Ground Systems
协作研究:CPS:中:使用智能协作飞行和地面系统进行荒地火灾观测、管理和疏散
- 批准号:
2204445 - 财政年份:2021
- 资助金额:
$ 54.19万 - 项目类别:
Standard Grant
SCC-PG: Just in Time Intervention for Patients with Chronic Heart Diseases in Arizona tribes
SCC-PG:对亚利桑那州部落慢性心脏病患者进行及时干预
- 批准号:
2213915 - 财政年份:2021
- 资助金额:
$ 54.19万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT: LARGE: AI-Enabled Spectrum Coexistence between Active Communications and Passive Radio Services: Fundamentals, Testbed and Data
合作研究:SWIFT:大型:主动通信和无源无线电服务之间人工智能支持的频谱共存:基础知识、测试平台和数据
- 批准号:
2030047 - 财政年份:2020
- 资助金额:
$ 54.19万 - 项目类别:
Standard Grant
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