Mission effectiveness quantification and assessment of Micro Autonomous Systems and Technologies

Zohaib T. Mian, D. Mavris
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引用次数: 2

Abstract

Micro Autonomous Systems and Technologies (MAST) is an Army Research Laboratory (ARL) sponsored project based on a consortium of revolutionary academic and industrial research institutions working together to develop new technologies in the field of microelectronics, autonomy, micromechanics, and integration. The overarching goal of the MAST consortium is to develop autonomous, multifunctional, and collaborative ensembles of microsystems to enhance small unit tactical situational awareness in urban and complex terrain, providing real-time intelligence at the squad level. Technologists are trying to understand the impacts of developing state-of-the-art technologies on the MAST systems while the operators are trying to define strategies and tactics on how to use these systems. These two different perspectives create an integration gap that not only results in a major requirements disconnect, representing the difference of perspectives between soldiers and the researchers, but also demonstrates the lack of quantified means to assess the technology metrics in terms of mission requirements. An multidisciplinary framework, built on a technical approach of simultaneous application of decomposition and re-composition approaches, is implemented to provide a structured and traceable method for quantifying mission effectiveness of MAST System of Microsystems (SoMs). An Interior Building Reconnaissance mission scenario, based on a physical test site at Joppa, MD, was analyzed using the framework. Results demonstrated minimum required technology metrics for reasonable mission level performance of SoMs. Comparison with current state of the art provided quantitative technology attribute gaps.
微自主系统与技术的任务效能量化与评估
微自主系统与技术(MAST)是美国陆军研究实验室(ARL)赞助的一个项目,该项目基于一个由革命性学术和工业研究机构组成的联盟,共同开发微电子、自主、微力学和集成领域的新技术。MAST联合体的总体目标是开发自主、多功能和协作的微系统集合体,以增强城市和复杂地形中的小单位战术态势感知能力,提供班级实时情报。技术人员正在努力了解发展最先进的技术对MAST系统的影响,而运营商则试图确定如何使用这些系统的策略和战术。这两种不同的观点造成了集成差距,不仅导致主要需求脱节,代表了士兵和研究人员之间的观点差异,而且还表明缺乏根据任务需求评估技术指标的量化手段。基于同时应用分解和重组方法的技术方法,实现了多学科框架,为量化MAST微系统(SoMs)的任务有效性提供了结构化和可追溯的方法。使用该框架分析了基于马里兰州约帕物理试验场的室内建筑侦察任务场景。结果显示了som合理任务级性能所需的最低技术指标。与当前技术水平的比较提供了定量的属性差距。
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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