REU Site: Applied Computational Robotics

这个本科生研究体验(REU)网站将支持10名本科生参加为期10周的计算机器人指导研究体验，包括强调专业和学术技能发展和社区建设的部分。目标学生的主要人群将是东南部本科服务机构的大二和大三学生。该项目将鼓励这些学生在机器人和相关计算领域进行研究生学习和面向研究的行业职位，并为这些职业道路提供必要的准备。这将是每年本科生参与研究项目的绝佳机会。对计算在机器人中的应用的重视支持了社会对这种专业知识日益增长的需求。这些学生的选拔过程将通过有针对性的宣传和外联努力，促进将代表性不足的群体纳入其中。学生进行的研究将导致更有效的方法来感知、控制和学习机器人。这些研究跨越了扎根于当代机器人社区经常忽视的领域的项目，但对于部署可靠、值得信赖的机器人系统至关重要。参与者将从事与科学相关的研究项目，组织的主题是“机器人改变一切”这一观点。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几乎对该计算系统的每一个方面都产生了深远的影响，从特定于应用的算法和数据结构，一直到安全和网络连通性的低层考虑。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.