REU Site: Applied Computational Robotics

这个本科生研究经验（REU）网站将支持一个由10名本科生组成的多元化小组，在计算机器人方面进行为期10周的指导研究经验，包括强调专业和学术技能发展以及社区建设的组成部分。目标学生的主要人群将是来自东南地区本科院校的二年级和三年级学生。该项目将鼓励这些学生进入机器人和相关计算领域的研究生学习和研究型行业职位，并为这些职业道路提供必要的准备。这将是本科生每年参与研究项目的绝佳机会。强调计算在机器人技术中的应用是对这种专业知识日益增长的社会需求的支持。这些学生的选拔过程将通过有针对性的宣传和外展工作，促进代表性不足的群体的纳入。由学生进行的研究将为机器人感知、控制和学习带来更有效的方法。这项研究涵盖的领域往往被当代机器人社区所忽视，但对部署可靠、值得信赖的机器人系统至关重要。参与者将围绕“机器人改变一切”的观点，参与与科学相关的研究项目。也就是说，当计算机被用来实现机器人系统的自主性时，物理世界的复杂性和不可预测性对计算系统的几乎每个方面都有深远的影响，从特定应用的算法和数据结构，一直到安全性和网络连接的较低级别考虑。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 Research Experiences for Undergraduates (REU) Site will support a diverse group of 10 undergraduate students in a 10-week mentored research experience in computational robotics, including components emphasizing professional and academic skills development and community building. The primary population of target students will be sophomores and juniors from undergraduate-serving institutions in the southeast. The project will encourage these students toward graduate study and research-oriented industry positions in robotics and related areas of computing, and provide essential preparation for these career paths. It will be an excellent opportunity for undergraduates to participate in research projects each year. The emphasis on applications of computing in robotics is supportive of the growing social need for such expertise. The selection process for these students will promote the inclusion of underrepresented groups through targeted publicity and outreach efforts. Research conducted by the students will lead to more effective approaches to robot perception, control, and learning. The research spans projects rooted in areas are often overlooked by the contemporary robotics community, but crucially important for the deployment of reliable, trustworthy robotic systems. Participants will engage in scientifically-relevant research projects organized around the observation that "Robots Change Everything." That is, when computers are utilized to enable autonomy in robotic systems, the complexity and unpredictability of the physical world have profound implications on nearly every aspect of that computing system, from the application-specific algorithms and data structures, all the way down to the lower-level considerations of security and network connectivity.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.