联合武器作战中协同人机交互

D. Barber, Larry D. Davis, Don Kemper, P. Smith, D. Nicholson
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引用次数: 3

摘要

我们当前和未来的军事力量都在一个高度分布式、以网络为中心的环境中运作,这种环境严重依赖多学科、混合主动、分布式异构团队来完成任务。这种能力需要高度的态势感知和团队成员之间的协调。对于联合武器作战,这些小组包括下马和车载士兵,其平台可以是有人或无人(机器人)。机器人实体的范围从远程操作到完全自主代理。尽管已经有很多关于人类团队绩效的研究,但是对于这些混合计划团队的绩效支持优化操作系统仍然存在许多问题。例如,当今人机团队界面的设计侧重于操作无人系统所需的技能。然而,这样的设计并没有处理在一个分布式的、混合计划的团队中操作的方法。在理解支持人机团队作为更大的异构团队的一部分所需的技术和方法方面存在重大差距。本文将讨论针对这些差距的研究。我们提出了一个分布式仿真、虚拟环境和人机交互(HRI)团队测试平台的设计。HRI测试平台包括可重构的多模态接口,用于探索联合武器任务中的协同HRI挑战。还将介绍未来计划研究的范例情景和实验设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collaborative human robot interactions in combined arms operations
Our militarypsilas current and future forces are operating in a highly distributed, network centric environment which relies heavily on multidisciplinary, mixed-initiative, distributed heterogeneous teams to accomplish missions. This capability requires a high degree of situational awareness and coordination between team members. For combined arms operations, these teams include dismounted and vehicle based soldiers whose platforms can be manned or unmanned (robotic). The robotic entities range from remotely operated to fully autonomous agents. Although there has been much research on human team performance, there still remain many questions for optimizing operational systems with performance support for these ldquomixed-initiativerdquo teams. For instance, the design of todaypsilas human-robot team interfaces focuses on the skills required to operate an unmanned system. However, such designs do not address methods for operating within a distributed, mixed-initiative team. There are critical gaps in understanding the technology and methodologies needed to support the human-robot team as part of a larger, heterogeneous team. This paper will discuss research targeted at these gaps. We present the design of a distributed simulation, a virtual environment, and a human-robot interaction (HRI) team test bed. The HRI test bed includes reconfigurable multimodal interfaces to explore collaborative HRI challenges within combined arms missions. Exemplar scenarios and experimental designs for future planned studies will also be presented.
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