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NSF-JST-NIST Workshop on Rescue Robotics

NSF-JST-NIST Workshop on Rescue Robotics
NSF-JST-NIST 救援机器人研讨会
批准号:
1029089
负责人:
Robin Murphy
金额:
$2.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-04-01 至 2011-03-31

项目摘要

项目成果

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中文摘要
翻译
该奖项支持美国参加将在德克萨斯农工大学举行的美日救援机器人研讨会。2010年3月8日至11日,灾难之城。该研讨会将与美国国家标准与技术研究所(NIST)响应机器人评估演习#6一起组织,并以2008年8月举行的美日机器人安全、保障和提高生活质量研讨会为基础。该奖项为六个美国研究小组提供旅费,每个小组由一名高级研究员和两名学生助理参加研讨会。日本东北大学信息科学系的Satoshi Tadokoro教授是日本的主要合作者。TAMU会议为美国救援机器人(平台、传感器、人机交互)研究人员提供了一个难得的机会,通过在灾难城市的独特设施中测试他们的机器人和传感器,并从响应者那里获得反馈,从而提高他们对现实世界领域的理解。该研讨会有望为救援机器人的理论做出贡献,并建立新的合作关系。它通过实地考察、演讲和信息交流促进美日合作。最近发生在海地和智利的地震使这次研讨会显得尤为及时。计算机和信息科学理事会与信息和智能系统工程部共同资助了该奖项。
英文摘要
This award supports U.S. participation in a U.S.-Japan workshop on rescue robots to be held at Texas A&M University?s Disaster City on March 8-11, 2010. The workshop will be organized in conjunction with the National Institute of Standards and Technology (NIST) Response Robot Evaluation Exercise #6 and builds on an August 2008 U.S.-Japan workshop on robotics for safety, security and better quality of life. The award supports travel for six U.S. research teams, with one senior researcher and two student assistants per team, to the workshop. Professor Satoshi Tadokoro of Tohoku University Department of Information Sciences is the lead Japanese collaborator. The TAMU meeting offers U.S. researchers in rescue robots (platforms, sensors, human-robot interactions) an uncommon opportunity to improve their understanding of real-world domains by testing their robots and sensors with NIST standards at the unique facility at Disaster City and obtaining feedback from responders. The workshop is expected to contribute to the theory of rescue robots and establish new collaborations. It fosters U.S.-Japan collaborations through fieldwork, presentations and information interactions. Recent earthquakes in Haiti and Chile make the workshop especially timely. The Directorate for Computer and Information Science & Engineering Division of Information and Intelligent Systems cofunded this award.
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会议论文
RAPID/Collaborative Research: Datasets for Uncrewed Aerial System (UAS) and Remote Responder Performance from Hurricane Ian
SCC-CIVIC-PG Track B: Community-Centric Pre-Disaster Mitigation with Unmanned Aerial and Marine Systems
EAGER: Evidence-Based Model of Adoption of Robotics for Pandemics and Natural Disasters
RAPID/Collaborative Research: Data Collection for Robot-Oriented Disaster Site Modeling at Champlain Towers South Collapse
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