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BRITE Relaunch: Persistent and Accessible Maritime Monitoring (PAMM)

BRITE 重新推出：持久且可访问的海事监控 (PAMM)

基本信息

批准号：
2135619
负责人：
Leigh McCue-Weil
金额：
$ 52.2万
依托单位：
George Mason University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-01-01 至 2024-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2135619&HistoricalAwards=false
关键词：
BRITE Relaunch Persistent Accessible Maritime

项目摘要

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).This Boosting Research Ideas for Transformative and Equitable Advances in Engineering (BRITE) Relaunch project represents a unified research and education program dedicated to creating opportunities for students interested in, and researchers requiring, persistent and accessible maritime monitoring. With a blended program of STEM outreach for students in grades 6-12 to promote interest in maritime robotics, undergraduate project-based learning in the design and construction of novel marine vehicles, and graduate level research on the use of accessible control hardware coupled with machine learning to support coordinated control of multi-vehicle maritime robotics operations, these efforts will develop tools, platforms, and a workforce that will improve the applications of unmanned marine vehicles and expand opportunities for their use to support research in a variety of maritime environments. The novel control systems that will be developed through this project will inform other unmanned vehicle operation. By integrating control input systems that are often used by individuals with significant limitations in motion (e.g., eye gaze and sip-and-puff), this project will also open up data collection in maritime environments to a broader population, including those with disabilities..The researched Persistent and Accessible Maritime Monitoring (PAMM) activities further the state of the art of maritime robotics through novel vehicle design and innovative use of machine learning to support multi-vessel coordinated control while reducing physical demands associated with marine robotics use. Vehicle design activities will be focused on systems that will enable data gathering: (1) in coastal and riverine environments before, during, and after a storm; (2) over extended durations where both efficiency and sprint capability to overcome current, waste water, or other heavy flows are required; and (3) in arctic climates where transitioning between ice and water may be critical for environmental monitoring. Machine learning supported, human-in-the-loop, marine vehicle control using controllers more commonly seen in the accessibility community, such as sip-and-puff and eye gaze control, will reduce barriers for researchers with physical constraints while also providing new opportunities for all scientists using maritime robotics.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.

该奖项全部或部分由2021年美国救援计划法案（公法117-2）资助。该项目代表了一个统一的研究和教育计划，致力于为有兴趣的学生创造机会，以及需要持续和可访问的海洋监测的研究人员。通过为6-12年级的学生提供STEM外展混合计划，以促进对海上机器人的兴趣，在设计和建造新型海洋车辆方面进行基于本科项目的学习，以及研究生水平的研究使用无障碍控制硬件与机器学习相结合，以支持多车辆海上机器人操作的协调控制，这些努力将开发工具，平台，以及一支将改进无人驾驶海洋航行器的应用并扩大其使用机会以支持各种海洋环境中的研究的劳动力。通过该项目开发的新型控制系统将为其他无人驾驶车辆的操作提供信息。通过集成通常由在运动方面具有显著限制的个人使用的控制输入系统（例如，该项目还将向包括残疾人在内的更广泛的人群开放海洋环境中的数据收集。研究的持续和可扩展的海事监测（PAMM）活动通过新颖的车辆设计和机器学习的创新使用来支持多船协调控制，同时减少与海洋机器人使用相关的物理需求，从而进一步发展了海事机器人技术的最新水平。飞行器设计活动将集中在能够进行数据收集的系统上：（1）在风暴之前、期间和之后的沿海和河流环境中;（2）在需要克服水流、废水或其他大流量的效率和冲刺能力的长时间内;（3）在冰和水之间的过渡可能对环境监测至关重要的北极气候中。机器学习支持，人在回路，使用在可访问性社区中更常见的控制器进行海上车辆控制，例如sip-and-puff和眼睛凝视控制，将减少研究人员的物理限制的障碍，同时也为所有使用海洋机器人的科学家提供新的机会。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的知识产权评估的支持优点和更广泛的影响审查标准。