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CAREER: Human interaction with large numbers of unmanned vehicles

CAREER: Human interaction with large numbers of unmanned vehicles
职业:人类与大量无人驾驶车辆的互动
批准号:
0643100
负责人:
Julie Adams
金额:
$49.96万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-02-15 至 2013-01-31

项目摘要

项目成果

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中文摘要
翻译
未来的无人驾驶飞行器(UV)系统将被部署在国土安全任务中,包括化学、生物、核、辐射和爆炸(CBRNE)事件响应。设想了结合大量地面和空中UV的UV系统[67](大型混合型UV系统)。这个项目将开发可视化技术,提供一个可扩展的界面,结合集成的和易于理解的信息,从而允许监督大型、混合型UV系统。该项目包括三个人-机器人交互(HRI)挑战领域:数据抽象框架的开发;可扩展界面可视化技术的开发;以及可视化转换技术的开发。在最初的四年中,PI将开发和评估数据抽象、可视化和过渡技术。第五年的重点是CBRNE实地评价。将为PI的复杂人机交互课程开发一个新模块,并将开发一门新的机器人学入门课程。每年夏天,一名本科生和一名高中教师将加入研究团队。该项目的智力优势包括:为提供可扩展、集成的可视化而制定的数据抽象框架;可视化和可视化过渡技术的创建和评估;以及通过模拟和真实UV的定量和定性可用性评估来验证所有假设。广泛影响:为大型混合型UV系统开发可视化技术,使应急人员能够在减少污染物暴露的同时快速评估情况。HRI技术的发展将影响国土安全UV系统的开发,增加人员能力,减少危险情况下的暴露,并覆盖困难的地形。可视化的发展可能会影响复杂系统领域的界面设计,如空中交通管制和核过程监测。将高中教师纳入暑期研究项目鼓励在他们的课程中纳入研究实例,并可能导致学生对工程学的兴趣增加。
英文摘要
Future unmanned vehicle (UV) systems will be deployed for homeland security missions including Chemical, Biological, Nuclear, Radiological, and Explosive (CBRNE) event response. UV systems that incorporate large numbers of ground and aerial UVs [67] (large, mixed-type UV systems) are envisioned. This project will develop visualization techniques that provide a scalable interface incorporating integrated and easily understood information, thus permitting supervision of large, mixed-type UV systems. This project includes three Human-Robotic Interaction (HRI) challenge areas: the development of a data abstraction framework; the development of scalable interface visualization techniques; and the development of visualization transition techniques. During the first four years, the PI will develop and evaluate data abstractions, visualization, and transition techniques. The fifth year focuses on CBRNE field evaluations. A new module for the PI's Complex Human-Machine Interaction course and a new Introduction to Robotics course will be developed. Each summer an undergraduate student and a high school teacher will join the research team. The intellectual merits of this project include: formulation of a data abstraction framework for providing scalable, integrated visualizations; creation and evaluation of visualization and visualization transition techniques; and validation of all hypotheses via quantitative and qualitative usability evaluations with simulated and real UVs.Broader impacts: The development of visualization techniques for large, mixed-type UV systems that allow emergency responders to quickly assess a situation while reducing exposure to contaminants. The development of HRI techniques that will impact UV system development for homeland security that increase personnel capabilities, reduce exposure to dangerous situations, and cover difficult terrain. The development of visualizations may influence interface design for complex system domains such as air traffic control and nuclear process monitoring. The inclusion of high school teachers in summer research projects encourages inclusion of research examples in their courses and may result in increasing student interest in engineering.
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会议论文
SGER: Requirements Assessment for a Multiple Robot-Multiple Human Interface
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