REU Site: Undergraduate Research Opportunities in Unmanned Systems Foundations and Applications

内布拉斯加州大学的“本科生在无人系统基础和应用方面的研究机会”本科生研究经验（REU）站点每年为10名本科生提供无人系统背景下的密集和全面的研究经验，这是一个快速发展的科学和技术研究领域。来自内布拉斯加州智能移动无人系统实验室（NIMBUS实验室）的教师专家团队提供了为期十周的个人指导，以灌输研究方法的基础，并对各种无人系统应用进行动手研究活动。参与者参与专业发展活动，以更好地为科学、技术、工程或数学（STEM）职业做好准备。计算机科学、计算机工程、机械工程、电气工程等相关专业的学生也可考虑。特别关注来自代表性不足的群体和中西部机构的学生，这些机构缺乏研究机会，无法支持更广泛的教育目标和STEM劳动力的多样性。每个REU参与者的研究项目侧重于无人系统，主题包括空中机器人与环境的密切互动；熟练操作机器人系统；协作机器人系统的视觉控制多智能体设计、控制及应用；以及弹性、协同的通信系统。项目建立在正在进行的教师研究的基础上，但为参与者精心设计，以获得研究各个方面的经验，从进行文献综述和原型设计，到了解正在研究的技术的广泛潜在影响。参与者的发展将通过密切评估他们的成长，通过REU的经验，并在夏季后保持师徒关系来量化。该站点由国防部与美国国家科学基金会计算机与信息科学与工程理事会REU项目合作共同资助。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。

The "Undergraduate Research Opportunities in Unmanned Systems Foundations and Applications" Research Experiences for Undergraduates (REU) site at the University of Nebraska offers an intensive and comprehensive research experience to ten undergraduate students per year in the context of unmanned systems, a rapidly growing field of scientific and technological research. A team of faculty experts from the Nebraska Intelligent MoBile Unmanned Systems Lab (NIMBUS Lab) provides individual mentoring for ten weeks to instill the foundations of research methodology and to conduct hands-on research activities on a variety of unmanned systems applications. The participants engage in professional development activities to better prepare them for Science, Technology, Engineering or Mathematics (STEM) careers. Students from computer science, computer engineering, mechanical engineering, electrical engineering, and other related majors are considered. Particular attention is given to students from underrepresented groups and from institutions in the Midwest that lack research opportunities to support broader educational goals and diversity in the STEM workforce.Each REU participant's research project focuses on unmanned systems with topics including close interactions of aerial robots with the environment; proficiency development in operating robotic systems; vision-based control for collaborative robotic systems; multi-agent design, control, and applications; and resilient, synergistic communication systems. Projects build on ongoing faculty research but are crafted for participants to gain experience in all aspects of research, from conducting a literature review and prototyping, to understanding the broad potential impact of the technology being investigated. Participant development will be quantified by closely assessing their growth through the REU experience and maintaining mentorship relationships after the summer.This site is jointly funded by the Department of Defense in partnership with the NSF Directorate of Computer and Information Science and Engineering REU program.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.