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:
    2232048
  • 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:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-08-01 至 2025-07-31
  • 项目状态:
    未结题

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.
无人驾驶飞行器(UAV)已经越来越多地用于若干商业和民用应用中,诸如包裹递送、交通监测、精准农业、遥感、边境巡逻、危险监测、救灾以及搜索和救援行动,以收集数据/图像用于附近的地面指挥站。基于UAV的操作的当前实现严重依赖于来自人类控制器的控制、推断、任务分配和规划,这可能限制无人机在任务中的操作,其中在使命之前操作场对于人类控制器是不可完全观察的,并且在使命期间在UAV与地面站之间或在队友UAV之间不可用可靠且连续的通信。无人机在这种非结构化和未知的环境中特别有用,可以提供敏捷的测量或搜索和救援行动。因此,未来无人机技术的重点是发展小型、低成本、智能化的无人机,并具有更高的自主性。 这种无人机可以促进由一个合作的无人机机群执行的广泛的复杂任务,最小的人为干预和较低的成本。本研究的目标是为完全自主的多智能体系统(例如,无人机)在动态和未知的环境中,以最少的人为干预。这项研究可以促进一组新的应用程序的自治多智能体系统在远程和动态环境。该项目涉及一套综合的研究,实施和实验验证的推力,以开发新的框架,自主决策,联盟的形成,协调,频谱管理和无人机系统的任务分配。开发的技术可以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,其中需要快速搜索,监视和反应,有限的人为干预。该项目还提供了一些教育和推广活动,将这项研究的结果整合到课程改进,学生导师,吸引代表性不足的少数民族和女学生,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实际感知实验,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知识价值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(18)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Wildland Fire Detection and Monitoring Using a Drone-Collected RGB/IR Image Dataset
  • DOI:
    10.1109/access.2022.3222805
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Xiwen Chen;Bryce Hopkins;Hao Wang;Leo O’Neill;Fatemeh Afghah;A. Razi;Peter Fulé;Janice Coen;Eric Rowell;Adam Watts
  • 通讯作者:
    Xiwen Chen;Bryce Hopkins;Hao Wang;Leo O’Neill;Fatemeh Afghah;A. Razi;Peter Fulé;Janice Coen;Eric Rowell;Adam Watts
Joint 3D Placement and Interference Management for Drone Small Cells
无人机小型基站的联合 3D 放置和干扰管理
  • DOI:
    10.1109/ieeeconf53345.2021.9723350
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Namvar, Nima;Afghah, Fatemeh
  • 通讯作者:
    Afghah, Fatemeh
Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN
O-RAN 中动态切片管理的进化深度强化学习
  • DOI:
    10.1109/gcwkshps56602.2022.10008614
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lotfi, Fatemeh;Semiari, Omid;Afghah, Fatemeh
  • 通讯作者:
    Afghah, Fatemeh
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
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
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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
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
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:
    2034218
  • 财政年份:
    2020
  • 资助金额:
    $ 54.19万
  • 项目类别:
    Continuing Grant

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