SBIR Phase I: Mission Planning Methods and Simulated Crisis Management Framework to teach STEM to Underserved Youth

SBIR 第一阶段：向服务不足的青少年教授 STEM 的任务规划方法和模拟危机管理框架

• 批准号: 2302195
• 负责人: Sara Moola
• 金额: $ 27.08万
• 依托单位: AALMV INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2302195&HistoricalAwards=false
• 关键词: SBIR; Phase; Mission; Planning; Methods

The broader/ commercial impact of this Small Business Innovation Research (SBIR) Phase I project is in addressing the unemployment of youth, primarily in underserved communities, across the United States by providing an online, collaborative gaming environment to educate, train, and provide Science, Technology, Engineering and Mathematics (STEM)-based career opportunities. It is estimated that more than 5.5 million youth in the U.S. ages 16 to 24 years, are out-of-school and out-of- work. The unemployment rate in this age group is close to 20 percent. This project aims to improve young people’s skills and overall knowledge, and help them secure certifications in drone design, function, and operations related to industry and first responder communities. Implicit to the core learning are knowledge in areas such as critical thinking and planning, rapid prototyping, mission planning, data post-processing and analytics, and co-authoring of effective robotics designs to assist in industry and first responder areas of operation. The project empowers students to develop strong STEM skills that target career opportunities in advanced manufacturing, inspire budding entrepreneurs, and directly benefit industry and first responder communities with a relevantly trained workforce.This Small Business Innovation Research Phase I project will develop a scalable template of a realistic environment for a multi-player game for education and training of youth, integrating autonomous robots using scenarios driven by industry and first responders. This technology will be accomplished through a collaborative mission readiness workflow application with a multi-player gaming engine, Computer Aided Design (CAD)-generated prototype drones, and geo-accurate areas of terrain for realistic and relevant environments. Intelligent improvements of the system will be accelerated as Machine Learning (ML) and Artificial Intelligence (AI) algorithms are added to the workflow application and gaming environment from data that is collected and analyzed from training, exercise, and lessons learned from live response events. The greatest technical obstacle is modeling the data in a way that preserves integrity and that can be adapted and “trained” for machine learning. Teams of youth, first responders, and engineers in this e-sports gaming league will compete for the best time, procedures, and systems to win each mission. Drone design, physics reality, and machine learning algorithms for each vehicle will be outputs for the drone blueprints that will be actualized via 3D printing.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.

这项小型企业创新研究（SBIR）I阶段项目的更广泛/商业影响是通过提供一个在线，协作的游戏环境来教育，培训，提供科学，技术，工程和数学（STEM）的职业机会，以解决美国在服务不足的社区的失业。据估计，在16至24岁的美国，超过550万年轻的年轻人是学校外和失业。该年龄段的失业率接近20％。该项目旨在提高年轻人的技能和整体知识，并帮助他们在与行业和急救人员社区有关的无人机设计，功能和运营方面获得认证。对核心学习的隐含是诸如批判性思维和计划，快速原型制定，任务计划，数据后处理和分析以及合着有效机器人技术设计等领域的知识，以帮助行业和第一响应者的运营领域。该项目使学生有能力发展出强大的STEM技能，这些技能可以针对高级制造业，激发崭露头角的企业家，并直接使行业和急救人员具有特殊训练的劳动力。该小型企业创新研究阶段I项目将开发一个可扩展的模板，以实现现实的环境，以使用自然工业界的培训，用于对年轻人进行多玩游戏，以培训年轻人，并使用自身训练来培训SENARIOSS SEMARIOSS和FIRSTIOSS SEMARIOSS和FIRSTIOSS SEMARIOSS和FIRSTIOS。这项技术将通过与多玩家游戏引擎，计算机辅助设计（CAD）生成的原型无人机以及地形地形区域的合作任务准备工作流程实现，以实现现实和相关的环境。随着机器学习（ML）（ML）和人工智能（AI）算法的智能改进将加速到工作流程应用程序和游戏环境中，并通过从培训，练习以及从实时响应事件中汲取的经验来分析的数据中添加和游戏环境。最大的技术障碍是以保持完整性的方式对数据进行建模，并且可以对机器学习进行调整和“训练”。这个电子竞技游戏联盟的青年，急救人员和工程师团队将争夺赢得每个任务的最佳时间，程序和系统。无人机设计，物理现实和机器学习算法将用于将通过3D打印来实现无人机蓝图的输出。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准来通过评估来获得的支持。