RAPID: Human-Robotic Interactions During Harvey Recovery Operations

RAPID：哈维恢复操作期间的人机交互

• 批准号: 1760479
• 负责人: Ranjana Mehta
• 金额: $ 11.76万
• 依托单位: Texas A&M University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-10-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1760479&HistoricalAwards=false
• 关键词: RAPID; Human; Robotic; Interactions; During

Effective and efficient disaster recovery is necessary for individuals, the community and businesses to return to normal functioning from large-scale disasters, like hurricanes Harvey and Irma. In recent years, unmanned robots have been used to facilitate rescue, response, and recovery and have been found invaluable in these efforts as they can go where humans cannot. Although these robots do not have someone on the vehicle itself, they do require humans to operate them, and little is known about the demands of this technological work environment on the humans during disaster recovery. What is known is that the pilots often work: in high work demand stressful environments; outside (often in the heat, as hurricanes happen in the summer); require ambulation or prolonged standing in awkward postures for extended periods of time; and sometimes these operators live in the affected area themselves and thus maybe experiencing psycho-social stressors due to the disaster. Given the finite number of trained operators, the availability of different types of robots, and the increasing areas of the country needing assessment of damages using robots due to large-scale disasters, there is a critical need to examine naturalistic human/robotic interactions during recovery operations in affected regions. The study will create a fundamental, principled understanding of attributes of collaborations between human and robot teams that are resilient during disaster recovery operations to minimize costly errors and improve effectiveness of future disaster robotics response and recovery operations.This RAPID award will provide critical and timely information on human/robotic interactions during robot-assisted Harvey recovery operations in the Texas Gulf Coast and surrounding locations impacted by flooding. The study will examine recovery operations that focus on inspections of critical infrastructure affected by the flooding and to assist with economic recovery across different types of structures (homes, factories, neighborhoods, etc.). The objectives of this study are to 1) document the relationships between the human (e.g., pilot) and the robot (e.g., unmanned aerial vehicle) to achieve specific recovery tasks (surveillance and inspections) in dynamically changing and unstable environments (e.g., flood-damaged infrastructure); and 2) determine the key contributors of poor human/robotic interactions to provide heuristics/guidelines for improved human/robotic interactions. Both qualitative and quantitative data collection and analyses techniques will be used: video observations to document the gamut of human/robot interactions during recovery operations, perceptions of workload/fatigue, trust in robots, usability, communication, and training gaps through surveys and interviews from the human teams, types and functions of robots used, operator physiological responses, and task productivity metrics. Findings obtained from this study will be rapidly disseminated to appropriate stakeholders (industry, government, public safety) for developing effective best practices in disaster recovery operations.

对于个人，社区和企业，必须从大规模灾难（例如Harricanes Harvey和Irma）重返正常运作的个人，社区和企业是必要的。近年来，无人驾驶机器人已被用来促进救援，反应和康复，并在这些努力中发现了无价的，因为它们可以去人类无法去的地方。尽管这些机器人本身没有某个人，但他们确实要求人类操作它们，而在灾难恢复期间，这种技术工作环境的需求知之甚少。众所周知，飞行员经常起作用：在高工作中需要压力很大的环境；在外面（通常在夏季发生飓风发生时，通常是在高温下）；需要长时间的尴尬姿势或长时间站立；有时，这些运营商本身生活在受影响的地区，因此可能由于灾难而遇到心理社会压力。鉴于训练有素的运营商数量有限，不同类型的机器人的可用性以及由于大规模灾难而需要使用机器人评估损害赔偿的国家的增加，因此在受影响地区的恢复过程中检查自然主义的人类/机器人相互作用迫切需要。这项研究将建立对人与机器人团队之间合作属性的基本，有原则的理解，这些属性在灾难恢复运营过程中具有韧性，以最大程度地减少昂贵的错误并提高未来灾难机器人的响应和恢复操作的有效性。这将在机器人辅助的Harvey Recovery firptation and Texas Gulf Coasterations anding Coasterations andery Coasterations andering copplations the Coasterations the Coasterations cobless and Archielting thecy andery affing and Repartive affection this Rapid affice奖。该研究将研究恢复行动，这些操作着重于检查受洪水影响的关键基础设施的检查，并协助跨不同类型的结构（房屋，工厂，社区等）进行经济复苏。这项研究的目标是1）记录人类（例如飞行员）和机器人（例如无人驾驶飞机）之间的关系，以在动态变化和不稳定的环境（例如，受洪灾破坏的基础设施）中实现特定的恢复任务（监视和检查）； 2）确定人/机器人相互作用差的关键因素，以提供改善人类/机器人相互作用的启发式方法/准则。 Both qualitative and quantitative data collection and analyses techniques will be used: video observations to document the gamut of human/robot interactions during recovery operations, perceptions of workload/fatigue, trust in robots, usability, communication, and training gaps through surveys and interviews from the human teams, types and functions of robots used, operator physiological responses, and task productivity metrics.从这项研究中获得的发现将迅速传播到适当的利益相关者（行业，政府，公共安全），以开发灾难恢复行动中有效的最佳实践。