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

提案编号：11-35848PI(s): Murphy, RobinInstitution: Texas A&amp；M university标题：RAPID：仙台地震和海啸-使用陆海空无人系统进行远程评估项目提案：该RAPID项目提案包括使用陆地、海洋和空中无人系统进行远程评估和态势感知的参与性研究，用于仙台地震和海啸后的关键救生和恢复行动。将捕获和分析有关各种机器人的恢复和检查以及用户界面范例的有效性的有价值的数据。研究人员将参与以下活动：-参与仙台地区和北部正在进行的恢复工作-收集各种机器人在各种现实场景中的有效性数据-收集恢复过程中远程设备的各种用户界面有效性数据-部署response - r移动仪器（NSF MRI拨款CNS-0923203）来检查关键基础设施。PI已获得日本研究人员和响应者的邀请。包括国际救援系统研究所在内，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行动，并对应急方法和做法的有效性进行研究。（搜救阶段已经结束。）美国和日本的反应小组将被部署到灾民和经济恢复决策中，同时收集前所未有的临时数据。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的类型。地理、破坏和经济规模推动了对分布式决策的需求，专家将不得不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从同一机构使用的多种模式的无人系统中创建语料库的机会。自9-11世贸中心倒塌事件中首次使用救援机器人以来的15次部署中，只有两次——卡特里娜飓风和海地飓风——同时使用了海上和空中交通工具；尽管如此，这些是由不同的组织控制的，由不同的机构执行任务，阻止了对决策者有效（或不有效）的纵向调查，以及为什么和如何协调资产。更广泛的影响：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工作，从而为社会带来立竿见影的效益。对于未来的灾害也有长期的好处，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智能，以人为中心的系统。私家侦探是一名妇女，在招募妇女和少数民族方面是众所周知的榜样；这个项目的数据将被整合到她众多的博物馆、纪录片、K-12和一般的公共教育活动中。由nsf赞助的响应研究的响应- r移动分布式仪器收集的数据将被组织成一个本体，并在适当的时候提供给视频片段的敏感性。

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.