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SGER: Human-MAV Team Processes for Effective Hurricane Response

SGER: Human-MAV Team Processes for Effective Hurricane Response
SGER:有效应对飓风的人力 MAV 团队流程
批准号:
0636173
负责人:
Robin Murphy
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-07-01 至 2007-12-31

项目摘要

项目成果

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中文摘要
翻译
SGER:人类-MAV团队有效应对飓风的过程该项目将使科学家能够立即使用旋转翼微型飞行器(RMAV)或携带相机的微型直升机来应对2006年的四次飓风。预计rMAV团队将能够直接为应对工作做出贡献,并进行研究。微型背包式直升机对搜索和救援具有变革性,但人们对如何培训响应者在压力大的条件下有效使用它们知之甚少。将收集和存档有关实际灾难应对期间rMAV和团队流程和绩效的短暂数据,以供科学领域,特别是人与机器人互动和应急社区使用。这些数据将用于验证团队流程模型,以便在我们之前在卡特里娜和威尔玛飓风期间产生的紧急响应条件下有效和安全地飞行rMAV。该项目还将创建一种快速的认知工作分析现场方法,允许在每次轮班后确定和修改团队角色和策略。虽然这种快速方法不太可能是最佳的,但预计它将促进立即改善--这可能意味着灾难受害者的生死存亡。此外,该项目将在应急响应、土木工程和机械、保险和机器人社区产生重大而广泛的影响。
英文摘要
SGER: Human-MAV Team Processes for Effective Hurricane ResponseThis project will enable scientists to immediately respond to four hurricanes in 2006 with rotary-wing micro air vehicles (rMAVs), or miniature helicopters carrying cameras. It is expected that the rMAV team will be able to directly contribute to the response effort, as well as conduct research. Miniature backpackable helicopters are transformational to search and rescue, but little is known about how responders can be trained to use them effectively under stressful conditions. Ephemeral data on rMAV and team processes and performance during the actual disaster response will be collected and archived for use by the scientific, especially human-robot interaction, and emergency response communities. The data will be used to validate a model of team processes for effective and safe flying of rMAVs under emergency response conditions generated during our previous work at Hurricanes Katrina and Wilma. This project will also create a quick-time cognitive work analysis field method which will allow team roles and strategies to be identified and modified after each shift. While this quick-time method is unlikely to be optimal, it is expected to foster immediate improvements- which could mean life and death for disaster victims. In addition, the project will have significant broader impacts spanning the emergency response, civil and mechanical, insurance, and robotics communities.
期刊论文(0)
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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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