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Phase II IUCRC University of Pennsylvania: Center for Robots & Sensors for the Human Well-Being

Phase II IUCRC University of Pennsylvania: Center for Robots & Sensors for the Human Well-Being
第二阶段 IUCRC 宾夕法尼亚大学:机器人中心
批准号:
1939132
负责人:
Mongying Hsieh
金额:
$50.0万
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
项目状态:
已结题
起止时间:
2020-03-15 至 2023-02-28

项目摘要

项目成果

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中文摘要
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英文摘要
The NSF Industry/University Cooperative Research Center (I/UCRC) on Robots and Sensors for Human Well-Being (ROSE-HUB) Phase II will play a leadership role in nurturing and acceler-ating the deployment of robotics and intelligent sensor technologies in a wide range of application domains key to the national economy, e.g., transportation, energy, logistics, manufacturing, and infrastructure and the well-being of the society, e.g., in healthcare. The ROSE-HUB center will facilitate center university researchers to work with partners from industry, government, other universities, and non-profit organizations to seek solutions to critical real-world challenges. The Penn ROSE-HUB site will leverage advances in computer vision, aerial and marine autono-mous vehicles, sensing, and artificial intelligence to develop novel robotic and sensing systems for environmental monitoring and mapping. Targeted applications include the improvement of agricultural yields and land management, inspection and health monitoring of critical infrastruc-ture GPS denied locations, water quality monitoring in major waterways, and assessment of work progress in construction sites. The systems will be developed to balance operation timeli-ness, cost, and the accuracy of the environmental representation. These activities will result in novel robotic and sensing systems aimed at aerial and marine applications.Center research will focus on applications including physical/mental health, robots and sensor systems to assist humans, innovative robot designs for monitoring and data collection, precision agriculture, digitization of construction processes, intelligent transportation systems, etc. Re-search will impact: a) industrial members by inserting research into product pipelines, b) re-searchers by exploring new ideas and application domains, c) students by providing hands-on experience and future employment potential, and d) academic curricula. Additionally, annual technology days will attract middle school students from underrepresented groups to engineer-ing, and outreach programs to local K-16 institutions will encourage pursuit of engineering educa-tion.The project will create hardware and software and collect experimental data from fixed and mo-bile robots, Unmanned Aerial Vehicles (UAVs), and sensors. A database for data management and dissemination will be established. The software components include: (i) system framework software (e.g., low-level software that operates electro-mechanical systems, i.e., robots, UAVs, etc.), (ii) software for planning, control, sensing, and learning algorithms, (iii) software for demon-stration testbeds and prototypes. The data retention period is five years after the conclusion of the award. The data will be released as it becomes available to the http://rosehubiucrc.github.io site.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(1)
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会议论文
DOI: 10.1109/oceans47191.2022.9977236
发表时间: 2022
期刊: Hampton Roads
影响因子: --
作者: [Li, Alice K., Mao, Yue, Manjanna, Sandeep, Liu, Sixuan, Dhanoa, Jasleen, Mehta, Bharg, Edwards, Victoria M., Ojeda, Fernando Cladera, Hsieh, M. Ani, Men, Mael Le]
通讯作者: Men, Mael Le
RI: Small: Collaborative Research: Extracting Dynamics from Limited Data for Modeling and Control of Unmanned Autonomous Systems
  • 批准号:
    1910308
  • 项目类别:
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  • 资助金额:
    $23.0万
  • 财政年份:
    2019
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CAREER: A New Paradigm in Control and Coordination of Robot Teams in Geophysical Flows
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    2018
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Collaborative Research: FW-HTF: Integrating Cognitive Science and Intelligent Systems to Enhance Geoscience Practice
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    1839686
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2018
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S&AS: FND: COLLAB: Planning and Control of Heterogeneous Robot Teams for Ocean Monitoring
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