REU Site: Applied Computational Robotics

REU 网站：应用计算机器人

基本信息

批准号：
1659514
负责人：
Jason O'Kane
金额：
$ 36万
依托单位：
University of South Carolina at Columbia
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-02-15 至 2021-01-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1659514&HistoricalAwards=false
关键词：
REU Site Applied Computational Robotics

项目摘要

This Research Experiences for Undergraduates (REU) Site will support a diverse group of computing majors in a 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, and provide essential preparation for these career paths. It will be an excellent opportunity for ten 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 interaction. The research also includes projects rooted in areas such as software engineering, security, and automated reasoning that are often overlooked by the contemporary robotics community, but crucially important for the deployment of reliable, trustworthy robotic systems. The research projects will be organized around the observation that "Robots Change Everything." That is, every aspect of a computer system, from the design and engineering of its software, to its interactions with humans, to its core functions of perception and movement, is deeply impacted by the way robots must interact with the physical world.

该本科生研究体验 (REU) 网站将为不同的计算机专业群体提供计算机器人学方面的指导性研究体验，包括强调专业和学术技能发展以及社区建设的部分。目标学生的主要群体将是东南部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。这将是每年十名本科生参与研究项目的绝佳机会。对机器人技术中计算应用的重视支持了社会对此类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推广工作，促进代表性不足的群体的融入。学生进行的研究将带来更有效的机器人感知、控制和交互方法。该研究还包括植根于软件工程、安全和自动推理等领域的项目，这些领域经常被当代机器人社区忽视，但对于部署可靠、值得信赖的机器人系统至关重要。研究项目将围绕“机器人改变一切”的观察进行组织。也就是说，计算机系统的每个方面，从软件的设计和工程，到与人类的交互，再到感知和运动的核心功能，都深受机器人与物理世界交互方式的影响。

项目成果

期刊论文数量（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Guaranteed Coverage with a Blind Unreliable Robot

盲人不可靠机器人的保证覆盖范围

DOI：
10.1109/iros.2018.8594048
发表时间：
2018
期刊：
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS
影响因子：
0
作者：
Lewis, Jeremy S.;Feshbach, Daniel A.;O'Kane, Jason M.
通讯作者：
O'Kane, Jason M.

Multiplexing Robot Experiments: Theoretical Underpinnings, Conditions for Existence, and Demonstrations

多重机器人实验：理论基础、存在条件和演示

DOI：
10.1109/icra48506.2021.9561015
发表时间：
2021
期刊：
IEEE International Conference on Robotics and Automation
影响因子：
0
作者：
Moan, Rachel A.;Shell, Dylan A.;O'Kane, Jason M.
通讯作者：
O'Kane, Jason M.

Coral Identification and Counting with an Autonomous Underwater Vehicle

DOI：
10.1109/robio.2018.8664785
发表时间：
2018-01-01
期刊：
2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO)
影响因子：
0
作者：
Modasshir, Md;Rahman, Sharmin;Rekleitis, Ioannis
通讯作者：
Rekleitis, Ioannis

Confined Water Body Coverage under Resource Constraints

资源约束下的承压水体覆盖范围

DOI：
10.1109/iros47612.2022.9981764
发表时间：
2022
期刊：
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS
影响因子：
0
作者：
Salman, Ibrahim;Raiti, Jason;Karapetyan, Nare;Venkatachari, Archana;Bourbonnais, Annie;O'Kane, Jason M.;Rekleitis, Ioannis
通讯作者：
Rekleitis, Ioannis

Optimal temporal logic planning with cascading soft constraints

DOI：
10.1109/iros40897.2019.8968261
发表时间：
2019-11
期刊：
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
影响因子：
0
作者：
Hazhar Rahmani;J. O’Kane
通讯作者：
Hazhar Rahmani;J. O’Kane