RAPID: Sendai Earthquake and Tsunami- Remote Assessment Using Land, Sea and Aerial Unmanned Systems

提案#：11-35848PI(S)：墨菲，罗宾研究所：德克萨斯农工大学题目：RAPID：仙台地震和海啸--使用陆上、海上和空中无人系统进行远程评估项目建议：这个快速项目提案包括利用陆地、海洋和空中无人系统进行远程评估的参与性研究，以及仙台地震和海啸后关键救生和恢复行动的情况感知，将捕获和分析关于各种机器人用于恢复和检查的有效性以及用户界面范例的宝贵数据。研究人员将从事以下活动：-参与仙台地区正在进行的恢复工作并向北-收集各种机器人在各种真实情况下的有效性数据-收集关于恢复过程中远程设备的各种用户界面有效性的数据-部署Response-R移动仪器(NSF MRI Grant CNS-0923203)检查关键基础设施PI已获得包括国际救援系统研究所在内的日本研究人员和响应人员的邀请，将机器人带到日本北部，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有效性进行研究。(搜救阶段已经结束。)美国和日本的应急小组将被部署在受害者和经济复苏决策上，同时收集前所未有的、短暂的数据。仙台灾难的独特之处在于其巨大的地理和经济规模以及破坏类型。地理、破坏和经济规模推动了对分布式决策的需求，在这种情况下，专家必须使用远程获取的数据进行远程咨询和工作。仙台还提供了第一次机会，从同一机构使用的多种模式的无人驾驶系统创建语料库。自9·11世贸中心倒塌后首次使用救援机器人以来，在15次部署中，只有两次，卡特里娜飓风和海地，同时使用了海上和空中车辆；尽管如此，这些任务由不同的机构控制，由不同的机构执行任务，阻止了对决策者有效(或无效)以及为什么以及如何协调资产的纵向调查。广泛影响：该提案承诺通过参与式研究范式支持日本的生命拯救和经济复苏努力，从而立即造福社会。对未来的灾难也有长期的好处，因为应急响应和无人系统都是形成领域，收集的数据将促进在不可预测的情况下发现和理解以人为中心的智能系统。PI是一位众所周知的招募妇女和少数民族的榜样；这个项目的数据将被整合到她的众多博物馆、纪录片、K-12和一般公共教育活动中。由NSF赞助的Response-R移动分布式响应研究仪器收集的数据将被组织到一个本体中，并考虑到视频片段的敏感性质而酌情提供。

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.