RAPID: Sendai Earthquake and Tsunami- Remote Assessment Using Land, Sea and Aerial Unmanned Systems
RAPID:仙台地震和海啸 - 使用陆地、海上和空中无人系统进行远程评估
基本信息
- 批准号:1135848
- 负责人:
- 金额:$ 5.88万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-04-15 至 2012-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Proposal #: 11-35848PI(s): Murphy, RobinInstitution: Texas A&M UniversityTitle: RAPID: Sendai Earthquake and Tsunami- Remote Assessment Using Land, Sea and Aerial Unmanned SystemsProject Proposed:This RAPID project proposal, consisting of participatory research with land, sea, and aerial unmanned systems for remote assessment and situation awareness for critical life saving and recovery operations in the aftermath of the Sendai earthquake and tsunami, will capture and analyze valuable data on the effectiveness of various robots for recovery and inspection as well as user interface paradigms. The researchers will be engaged in some of the following activities: - Participate in the ongoing recovery efforts in the Sendai region and northward- Gather data on the effectiveness of various robots in various real-world scenarios- Gather data on the effectiveness of various user interfaces for remote devices during the recovery process- Deploy the RESPOND-R mobile instrument (NSF MRI grant CNS-0923203) to inspect critical infrastructureThe PI has secured invitations from Japanese researchers and responders, including the International Rescue Systems Institute, to bring robots to the north of Japan to assist in the inspection of critical infrastructure and other recovery operations as well as perform research on the efficacy of emergency response methods and practices. (The search and rescue phase has been terminated.) US and Japanese response teams will be deployed for victim and economic recovery decision-making while simultaneously collecting never-before-possible, ephemeral data. The Sendai disaster is unique in its large geographical and economic scale and types of damage. The geographical, damage, and economic scales drive the need for distributed decision-making, where experts will have to consult and work at a distance using remotely acquired data. Sendai also provides the first opportunity to create a corpus from multiple modalities of unmanned systems being used by the same agency. Of the 15 deployments since the first use of rescue robots at the 9-11 World Trade Center collapse, only two, Hurricanes Katrina and Haiti, used both sea and aerial vehicles; notwithstanding, these were controlled by different organizations for tasks by different agencies preventing a longitudinal survey of what works (or does not) for decision-makers and why and how assets should be coordinated.Broader Impacts: This proposal promises an immediate benefit to society by supporting life saving and economic recovery efforts in Japan through a participatory research paradigm. There are also long term benefits for future disasters since emergency response and unmanned systems are both formative domains and the data collected will advance the discovery and understanding of intelligent, human-centered systems in unpredictable situations. The PI is a woman who is well known as a role model for recruiting women and minorities; the data from this project will be integrated into her numerous museum, documentary, K-12, and general public education events. Data gathered by the NSF-sponsored RESPOND-R mobile distributed instrument for response research will be organized into an ontology and made available as appropriate given the sensitive nature of video footage.
提案#:11-35848PI(S):墨菲,robininstitution:Texas A&M UniversityTitle:快速:仙境地震和远程评估,使用土地,海洋和无人驾驶的Systemsproject提出的土地,海上和无人驾驶的Systemsproject提出:这项快速的项目建议:该项目的远程评估和远程评估的临时性和空中疗法的临时性研究,以及远程恢复的范围。仙台地震和海啸将捕获和分析有关各种机器人在恢复和检查以及用户界面范式的有效性的宝贵数据。 The researchers will be engaged in some of the following activities: - Participate in the ongoing recovery efforts in the Sendai region and northward- Gather data on the effectiveness of various robots in various real-world scenarios- Gather data on the effectiveness of various user interfaces for remote devices during the recovery process- Deploy the RESPOND-R mobile instrument (NSF MRI grant CNS-0923203) to inspect critical infrastructureThe PI has secured invitations from Japanese包括国际救援系统研究所在内的研究人员和响应者将机器人带到日本北部,以协助检查关键基础设施和其他恢复操作,并对紧急响应方法和实践的功效进行研究。 (搜救阶段已被终止。)美国和日本响应团队将部署用于受害者和经济复苏决策,同时收集永不易于的短暂数据。仙台灾难在其庞大的地理和经济规模和损害类型上是独一无二的。地理,损害和经济规模推动了分布式决策的需求,专家将不得不使用远程获取的数据在远距离进行咨询和工作。仙台还提供了第一个机会,可以从同一机构使用的多种无人系统模式中创建语料库。自9-11世界贸易中心崩溃以来,在15个部署以来,只有两个飓风卡特里娜飓风和海地飓风都使用了海洋和航空车;尽管如此,这些机构还是由不同的机构控制了这些任务,以防止对决策者的纵向调查(或无效),以及为什么应协调资产以及如何以及如何协调资产的影响:这项提案通过参与研究范式通过参与性研究范式来支持日本的日本储蓄和经济恢复工作,从而立即为社会带来立即利益。由于紧急响应和无人系统既是形成域,而且收集到的数据将在不可预测的情况下提高发现和理解智能,以人为中心的系统的发现和理解。 PI是一名妇女,她是招募妇女和少数民族的榜样。该项目的数据将集成到她的众多博物馆,纪录片,K-12和公共教育活动中。 NSF赞助的响应-r移动分布式仪器收集的响应研究的数据将被组织成一个本体,并在鉴于视频素材的敏感性时适当地提供。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Robin Murphy其他文献
Smart film actuators using biomass plastic
使用生物质塑料的智能薄膜执行器
- DOI:
- 发表时间:
2011 - 期刊:
- 影响因子:4.1
- 作者:
Satoshi Tadokoro;Robin Murphy;Samuel Stover;William Brack;Masashi Konyo;Toshihiko Nishimura;Osachika Tanimoto;米山聡,田中信雄 - 通讯作者:
米山聡,田中信雄
Preliminary Observation of HRI in Robot-Assisted Medical Response
HRI 在机器人辅助医疗救治中的初步观察
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Robin Murphy;Masashi Konyo;Satoshi Tadokoro;Pedro Davalas;Gabe Knezke;Maarten Van Zomeren - 通讯作者:
Maarten Van Zomeren
Application of Active Scope Camera to Forensic Investigation of Construction Accident
主动式摄像头在建筑事故法医学调查中的应用
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Satoshi Tadokoro;Robin Murphy;Samuel Stover;William Brack;Masashi Konyo;Toshihiko Nishimura;Osachika Tanimoto - 通讯作者:
Osachika Tanimoto
Robin Murphy的其他文献
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{{ truncateString('Robin Murphy', 18)}}的其他基金
RAPID/Collaborative Research: Datasets for Uncrewed Aerial System (UAS) and Remote Responder Performance from Hurricane Ian
RAPID/协作研究:飓风伊恩无人飞行系统 (UAS) 和远程响应器性能的数据集
- 批准号:
2306453 - 财政年份:2023
- 资助金额:
$ 5.88万 - 项目类别:
Standard Grant
SCC-CIVIC-PG Track B: Community-Centric Pre-Disaster Mitigation with Unmanned Aerial and Marine Systems
SCC-CIVIC-PG 轨道 B:利用无人机和海洋系统进行以社区为中心的灾前减灾
- 批准号:
2043710 - 财政年份:2021
- 资助金额:
$ 5.88万 - 项目类别:
Standard Grant
EAGER: Evidence-Based Model of Adoption of Robotics for Pandemics and Natural Disasters
EAGER:采用机器人技术应对流行病和自然灾害的循证模型
- 批准号:
2125988 - 财政年份:2021
- 资助金额:
$ 5.88万 - 项目类别:
Standard Grant
RAPID/Collaborative Research: Data Collection for Robot-Oriented Disaster Site Modeling at Champlain Towers South Collapse
快速/协作研究:尚普兰塔南倒塌的面向机器人的灾难现场建模数据收集
- 批准号:
2140451 - 财政年份:2021
- 资助金额:
$ 5.88万 - 项目类别:
Standard Grant
SCC-CIVIC-FA Track B: Community-Centric Pre-Disaster Mitigation with Unmanned Aerial and Marine Systems
SCC-CIVIC-FA 轨道 B:利用无人机和海洋系统进行以社区为中心的灾前减灾
- 批准号:
2133297 - 财政年份:2021
- 资助金额:
$ 5.88万 - 项目类别:
Standard Grant
EAGER: Documenting and Analyzing Use of Robots for COVID-19
EAGER:记录和分析机器人在 COVID-19 中的使用情况
- 批准号:
2032729 - 财政年份:2020
- 资助金额:
$ 5.88万 - 项目类别:
Standard Grant
Best Viewpoints for External Robots or Sensors Assisting Other Robots
外部机器人或传感器协助其他机器人的最佳视角
- 批准号:
1945105 - 财政年份:2019
- 资助金额:
$ 5.88万 - 项目类别:
Standard Grant
RAPID: Collaborative Research: Machine Learning for Dehazing Unmanned Aerial System Imagery from Volcanic Eruptions
RAPID:协作研究:用于消除火山喷发无人机系统图像雾霾的机器学习
- 批准号:
1840873 - 财政年份:2018
- 资助金额:
$ 5.88万 - 项目类别:
Standard Grant
RAPID: Collaborative Research: Unmanned Aerial System Datasets from Hurricanes Harvey and Irma
RAPID:协作研究:飓风哈维和艾尔玛的无人机系统数据集
- 批准号:
1762137 - 财政年份:2017
- 资助金额:
$ 5.88万 - 项目类别:
Standard Grant
RAPID: Using an Unmanned Aerial Vehicle and Increased Autonomy to Improve an Unmanned Marine Vehicle Lifeguard Assistant Robot
RAPID:使用无人驾驶飞行器和增强的自主性来改进无人驾驶海上飞行器救生员助理机器人
- 批准号:
1637214 - 财政年份:2016
- 资助金额:
$ 5.88万 - 项目类别:
Standard Grant
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