Manned-Unmanned Teaming Challenges in the Maritime Environment

J. Banas, T. Mehling, T. Paul, Andreas Cords
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引用次数: 3

Abstract

When properly implemented, Manned-Unmanned Teaming (MUM-T) allows for an optimized blending of high-value, manned airborne vehicles with expendable, relatively inexpensive unmanned resources within a coordinated mission. This enables human operators and crew to focus on the most sensitive and complex mission tasks, while limiting their usage and exposure to dangerous environments. The sensor and communication capabilities of even simple unmanned vehicles can enhance the situational awareness and reach of manned vehicle crews; however, controlling, monitoring, and avoiding collisions with these additional vehicles can also quickly increase crew workload in an already overtaxed environment. This paper discusses the challenges associated with bringing MUM-T operations into the maritime environment and offers suggestions for modifications to the teaming structure, operations, and equipment in this setting. The experimental setup and results from the German Army Aviation's MUM-T program1 are compared to maritime requirements and available assets, based on interviews with professional maritime test pilots and relevant operator publications. Expected roles for UAVs in maritime MUM-T operations would include intelligence-gathering, BLOS target designating, and relaying communications. Results of prior research and testing suggest that maritime crews will see little benefit today from MUM-T operations, given their current capabilities and technologies. More sophisticated displays for manned assets, advanced autonomy and robustness for unmanned assets, modified CONOPS, and improved long-range communication methods would be necessary for proper resource management in maritime missions. In particular, teams should require task-based UAV control, weather-proofed and reliable autonomous vehicles, and TLD datalink systems (such as Link 16).
海洋环境下的有人-无人组队挑战
当适当实施时,有人-无人组队(MUM-T)允许在协调任务中优化高价值,有人驾驶的机载飞行器与消耗性,相对廉价的无人资源的混合。这使得操作员和机组人员能够专注于最敏感和最复杂的任务任务,同时限制他们的使用和暴露在危险环境中。即使是简单的无人驾驶车辆的传感器和通信能力也可以增强有人驾驶车辆人员的态势感知和覆盖范围;然而,控制、监控和避免与这些额外车辆的碰撞也会在已经超负荷的环境中迅速增加乘员的工作量。本文讨论了将MUM-T作业引入海洋环境所面临的挑战,并提出了在这种环境下修改团队结构、作业和设备的建议。根据对专业海上试飞员的采访和相关运营商的出版物,将德国陆军航空兵MUM-T项目的实验设置和结果与海上需求和可用资产进行了比较。无人机在海上MUM-T作战中的预期作用将包括情报收集、BLOS目标指定和中继通信。先前的研究和测试结果表明,考虑到目前的能力和技术,海事人员从MUM-T操作中几乎看不到任何好处。为了在海上任务中进行适当的资源管理,更复杂的载人资产显示、先进的自主和鲁棒性无人资产、改进的CONOPS和改进的远程通信方法是必要的。特别是,团队应该要求基于任务的无人机控制,防风雨和可靠的自动驾驶车辆,以及TLD数据链系统(如Link 16)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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