课题基金 / 基金详情

Doctoral Consortium at the 2018 International Conference on Robotics and Automation (ICRA)

Doctoral Consortium at the 2018 International Conference on Robotics and Automation (ICRA)
2018年机器人与自动化国际会议(ICRA)博士联盟
批准号:
1828170
负责人:
Matthew Walter
金额:
$3.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-04-01 至 2019-03-31

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项目成果

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中文摘要
翻译
这笔资金用于部分支持在机器人领域工作的美国博士生有机会参加国际机器人与自动化会议(ICRA)的博士联盟,该会议是主要的国际机器人会议之一。会议将于2018年5月21日至25日在澳大利亚布里斯班举行,吸引了包括学术界、产业界、企业家和资助机构领导人在内的国际观众。参与博士联盟将使学生能够分享他们的知识,相互交流,并与本机构以外的高级研究人员互动,了解机器人领域的不同子领域,了解行业需求,并了解供应商将展示的新技术。博士生联盟包括一个下午的活动,包括学生的口头和海报演示,有重点的分组会议,主题演讲,以及由学术界和工业界的研究人员领导的两个小组讨论。该奖项反映了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。
英文摘要
This grant provides funds to partially support U.S. Ph.D. students working in robotics the opportunity to attend a Doctoral Consortium at the International Conference on Robotics and Automation (ICRA), one of the major international robotics conferences. The conference, to be held May 21-25, 2018 in Brisbane, Australia, attracts an international audience that includes academics, industry, entrepreneurs, and funding agency leaders.Participation in the Doctoral Consortium will enable the students to share their knowledge and interact with each other and with senior researchers outside their own institutions, to learn about different sub-fields within robotics, to understand industry needs, and to become apprised of new technology that will be demonstrated by vendors. The Doctoral Consortium includes an afternoon of activities, including oral and poster presentations by students, focused breakout sessions, a keynote address, and two panels led by researchers in academia and industry.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.
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会议论文
NRI: INT: COLLAB: Shared Autonomy for Unstructured Underwater Environments through Vision and Language
NRI: Collaborative Research: Learning Adaptive Representations for Robust Mobile Robot Navigation from Multi-Modal Interactions
海外基金