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Creating a Mixed Reality Common Operating Picture Across C2 Echelons for Human-Autonomy Teams

机译:为人类自治团队在C2梯队上创建混合现实的通用运营画面

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One of the most significant challenges for the emerging operational environment addressed by Multi-Domain Operations (MDO) is the exchange of information between personnel in operating environments. Making information available for leveraging at the appropriate echelon is essential for convergence, a key tenet of MDO. Emergent cross-reality (XR) technologies are poised to have a significant impact on the convergence of the information environment. These powerful technologies present an opportunity to not only enhance the situational awareness of individuals at the "local" tactical edge and the decision-maker at the "global" mission command (C2), but to intensely and intricately bridge the information exchanged across all echelons. Complimentarily, the increasing use of autonomy in MDO, from autonomous robotic agents in the field to decision-making assistance for C2 operations, also holds great promise for human-autonomy teaming to improve performance at all echelon levels. Traditional research examines, at most, a small subset of these problems. Here, we envision a system that sees human-robot teams operating at the local edge communicating with human-autonomy teams at the global operations level. Both teams use a mixed reality (MR) system for visualization and interaction with a common operating picture (COP) to enhance situational awareness, sensing, and communication - but with highly different purposes and considerations. By creating a system that bridges across echelons, we are able to examine these considerations to determine their impact on information shared bi-directionally, between the global (C2) and local (tactical) levels, in order to understand and improve autonomous agents teamed with humans at both levels. We present a prototype system that includes an autonomous robot operating with a human teammate sharing sensory data and action plans with, and receiving commands and intelligence information from, a tactical operations team commanding from a remote location. We examine the challenges and considerations in creating such a system, and present initial findings.
机译:多域运营(MDO)解决的新兴运营环境面临的最重大挑战之一是运营环境中人员之间的信息交换。使信息可供适当的梯队利用对于融合是MDO的关键宗旨,是必不可少的。新兴的跨现实(XR)技术有望对信息环境的融合产生重大影响。这些强大的技术提供了一个机会,不仅可以增强“本地”战术边缘人员的态势感知,还可以增强“全球”任务指挥部(C2)的决策者的处境意识,而且可以在各个梯队之间紧密而复杂地交流信息。值得一提的是,从现场的自主机器人代理到C2运营的决策协助,MDO中对自主性的使用越来越多,这也为人与人之间的团队合作在各个层次上提高绩效提供了广阔的前景。传统研究最多只研究这些问题的一小部分。在这里,我们构想一个系统,该系统将使在本地边缘运行的人机团队与在全球运营级别上的人文自主团队进行通信。两个团队都使用混合现实(MR)系统进行可视化并与常见的操作图片(COP)进行交互,以增强态势感知,感知和沟通能力-但目的和考虑因素却大不相同。通过创建跨梯队的系统,我们能够检查这些考虑因素,以确定它们对在全球(C2)和本地(战术)级别之间双向共享的信息的影响,以便了解和改进与之协作的自治特工两个层次上的人类。我们提出了一个原型系统,该系统包括一个与人类队友一起操作的自主机器人,该队友与战术操作小组从远程位置共享感官数据和行动计划,并从战术操作小组接收命令和情报信息。我们研究了创建这样一个系统的挑战和考虑因素,并提出了初步的发现。

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