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REU Site: Applied Computational Robotics

REU Site: Applied Computational Robotics
REU 网站:应用计算机器人
批准号:
2050896
负责人:
Jason O'Kane
金额:
$40.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-04-15 至 2023-04-30

项目摘要

项目成果

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中文摘要
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英文摘要
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.
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
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: --
作者: [Salman, Ibrahim, Raiti, Jason, Karapetyan, Nare, Venkatachari, Archana, Bourbonnais, Annie, O'Kane, Jason M., Rekleitis, Ioannis]
通讯作者: Rekleitis, Ioannis
Robust-by-design plans for multi-robot pursuit-evasion
多机器人追逃的稳健设计计划
DOI: --
发表时间: 2022
期刊: IEEE International Conference on Robotics and Automation
影响因子: --
作者: [Trevor Olsen, Nicholas Stiffler]
通讯作者: Trevor Olsen, Nicholas Stiffler
Planning to chronicle: Optimal policies for narrative observation of unpredictable events
规划编年史:对不可预测事件进行叙事观察的最佳策略
DOI: 10.1177/02783649211069154
发表时间: 2022
期刊: The International Journal of Robotics Research
影响因子: --
作者: [Rahmani, Hazhar, Shell, Dylan A., O’Kane, Jason M.]
通讯作者: O’Kane, Jason M.
On the Design of Minimal Robots That Can Solve Planning Problems
能够解决规划问题的最小机器人的设计
DOI: 10.1109/tase.2021.3050033
发表时间: 2021
期刊: IEEE Transactions on Automation Science and Engineering
影响因子: 5.6
作者: [Shell, Dylan A., O'Kane, Jason M., Saberifar, Fatemeh Zahra]
通讯作者: Saberifar, Fatemeh Zahra
8
    S&AS:FND:COLLAB: Planning Coordinated Event Observation for Structured Narratives
    REU Site: Applied Computational Robotics
    S&AS:FND:COLLAB: Planning Coordinated Event Observation for Structured Narratives
    REU Site: Applied Computational Robotics
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