BRITE Relaunch: Persistent and Accessible Maritime Monitoring (PAMM)

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。这个促进工程变革和公平进步的研究理念（BRITE）重新启动项目代表了一个统一的研究和教育计划，致力于为对持续和可访问的海洋监测感兴趣的学生和需要的研究人员创造机会。通过为6-12年级的学生提供STEM外展计划，以促进对海事机器人的兴趣，基于本科生项目的新型船舶设计和建造学习，以及研究生水平的使用可访问控制硬件与机器学习相结合的研究，以支持多船海事机器人操作的协调控制，这些努力将开发工具，平台，提高无人驾驶船舶的应用，扩大其在各种海洋环境中支持研究的机会。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。通过整合控制输入系统，该项目还将向更广泛的人群开放海洋环境中的数据收集，这些系统通常由运动严重受限的个人使用（例如，眼睛注视和吮吸）。研究的持久和无障碍海上监测（PAMM）活动通过新颖的车辆设计和机器学习的创新使用进一步提高了海上机器人技术的水平，以支持多船协调控制，同时减少与海洋机器人使用相关的物理需求。车辆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)在需要克服电流、废水或其他大流量的效率和冲刺能力的较长时间内；(3)在北极气候中，冰和水之间的过渡可能对环境监测至关重要。机器学习支持，人在环，船舶控制使用控制器更常见的可访问性社区，如啜吸和眼睛凝视控制，将减少物理限制的研究人员的障碍，同时也为所有使用海洋机器人的科学家提供新的机会。该奖项反映了美国国家科学基金会的法定使命，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。

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.