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MRI: Track-1: Acquisition of marine multirobot systems for underwater monitoring and construction

MRI: Track-1: Acquisition of marine multirobot systems for underwater monitoring and construction
MRI:Track-1:采购用于水下监测和施工的海洋多机器人系统
批准号:
1919647
负责人:
Alberto Quattrini Li
金额:
$40.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2024-09-30

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中文摘要
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英文摘要
Underwater surveys provide critical information to federal, state, and local agencies charged with protecting unique underwater archeological and cultural heritage sites. The research enabled by the instruments to be acquired with this award is focused on an exploration of techniques and principles that guide the development of algorithms and computational systems for control and design of water robots to study: Underwater robotic construction or scaffolding to protect delicate ecologies; multirobot communication and coordination for monitoring; and underwater exploration and mapping. This project fosters collaboration among researchers in diverse disciplines (engineering, environmental studies, biological science, and anthropology). The instrumentation acquired will provide opportunities to students at all levels with hands-on experience in research, programming, and experiential learning, and public outreach communicate the challenges and insights derived from field experiments. The findings from experimental monitoring will most likely augment public awareness of the environmental challenges for the area. The instrumentation will enable investigators to study principles, algorithms, and systems needed to enable autonomous locomotion and manipulation in water, including gathering data about physical changes and pollutants, aiding in search-and-rescue, constructing underwater structures, and documenting underwater and cultural heritage. New challenges such as global positioning, high speed communication between robots or with a remote computer, and human access for repair pose new challenges. The investigators aim to establish a versatile computational framework to enable the precise simulation, design, optimization and planning of various physical processes related to the construction activities immersed in a fluid environment. Using more complex models, they expect to create a real-time decision framework that includes constraints and optimization criteria and can adapt to changing contexts reasoning.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.
期刊论文(43)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1145/3450626.3459865
发表时间: 2021
期刊: ACM Transactions on Graphics
影响因子: 6.2
作者: [Xiong, Shiying, Tao, Rui, Zhang, Yaorui, Feng, Fan, Zhu, Bo]
通讯作者: Zhu, Bo
Towards a Reliable Heterogeneous Robotic Water Quality Monitoring System: An Experimental Analysis
建立可靠的异构机器人水质监测系统:实验分析
DOI: 10.1007/978-3-030-71151-1_13
发表时间: 2021
期刊: Geschaftsbericht fur das Geschaftsjahr
影响因子: --
作者: [Roznere, M., Jeong, M., Maechling, L., Ward, N.K., Brentrup, J.A., Steele, B., Bruesewitz, D.A., Ewing, H.A., Weathers, K.C., Cottingham, K.L.]
通讯作者: Cottingham, K.L.
MARCOL: A Maritime Collision Avoidance Decision-Making Testbed
MARCOL:海上避碰决策测试平台
DOI: 10.1609/aaai.v37i13.27076
发表时间: 2023
期刊: Proceedings of the AAAI Conference on Artificial Intelligence
影响因子: --
作者: [Jeong, Mingi, Quattrini Li, Alberto]
通讯作者: Quattrini Li, Alberto
Catabot: Autonomous Surface Vehicle with an Optimized Design for Environmental Monitoring
Catabot:具有环境监测优化设计的自主地面车辆
DOI: 10.1109/ieeeconf38699.2020.9389391
发表时间: 2020
期刊: Ocean
影响因子: --
作者: [Jeong, Mingi, Roznere, Monika, Lensgraf, Samuel, Sniffen, Amy, Balkcom, Devin, Quattrini Li, Alberto]
通讯作者: Quattrini Li, Alberto
40
    CAREER: Resilient Low-Cost Robot Teams for Autonomous Aquatic Exploration
    • 批准号:
      2144624
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $55.37万
    • 财政年份:
      2022
    • 负责人:
      Alberto Quattrini Li
    • 依托单位:
    Collaborative Research: NRI: INT: Cooperative Underwater Structure Inspection and Mapping
    • 批准号:
      2024541
    • 项目类别:
      Standard Grant
    • 资助金额:
      $40.34万
    • 财政年份:
      2020
    • 负责人:
      Alberto Quattrini Li
    • 依托单位:
    RII Track-2 FEC: Computational Methods and Autonomous Robotics Systems for Modeling and Predicting Harmful Cyanobacterial Blooms
    • 批准号:
      1923004
    • 项目类别:
      Cooperative Agreement
    • 资助金额:
      $598.93万
    • 财政年份:
      2019
    • 负责人:
      Alberto Quattrini Li
    • 依托单位:
    海外基金