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Using BML for Command Control of Autonomous Unmanned Air Systems

机译:使用BML进行自主无人驾驶系统的命令与控制

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The use of Unmanned Vehicle Systems (UVS) for military and civilian operations has become more prevalent recently and these systems are often in high demand. Thus, optimizing their effectiveness and increasing their availability is of significant interest, and as highly-valued assets, it is also essential to ensure that they are able to operate effectively throughout their entire nominal lifespan. Also, with forecasts for increasing numbers of UVS and a vast range of utilization scenarios, it is important that systems can be controlled in a safe, efficient and timely manner. In the military domain, UVS are often operating in unfriendly Areas of Operation (AO) that may be characterized by disruptive communications environments and multiple air and land-based threats. These factors represent challenges for those responsible for successfully operating the vehicles and accomplishing the mission objectives: the UVS operators. Introducing higher levels of autonomy reduces the required human intervention and frees up the operators to perform other tasks such as operating multiple vehicles. Introducing automation can be seen as a key component to achieving higher levels of autonomy and necessitates automation management strategies to address low-level and high-level control needs but also to mitigate possible negative side effects such as automation bias, complacency and loss of situation awareness. In the area of UVS control, much work has been done on examining automation management strategies and the implications of reducing human supervisory control associated with higher levels of autonomy, while little work has been done in the area of C2- Robotic Systems interoperability. In particular, implementing automation strategies requires flawless communication among automated systems, between the Vehicle Control System and the operator interface, and - at a higher level of abstraction - with command and control (C2) systems. This study explores the concept of utilizing a Battle Management Language as a formal language for machine-to-machine communication across systems as an enabler to satisfy requirements for C2-Robotic Systems interoperability. The Coalition Battle Management Language (C-BML) is being developed by SISO as a digitized representation of military tasking and reporting information for exchange among C2, simulation and robotic systems. The unambiguous and digitized nature of C-BML makes it an excellent candidate for use in tasking and receiving information from UVS. More specifically, this paper considers some of the emerging requirements for the control of Unmanned Air Vehicles (UAV) and explores the possible use of C-BML as part of UAV Ground Control System (GCS) interface.
机译:最近,使用无人驾驶车辆系统(UVS)的军事和民用运营变得更加普遍,这些系统通常需要很高。因此,优化其有效性并提高其可用性具有重要兴趣,并且作为高度重视的资产,这也是必要的,确保他们能够在整个名义寿命中有效地运行。此外,对于越来越多的UV和广泛的利用方案预测,系统可以以安全,高效和及时的方式控制系统。在军事域中,UV通常在不友好的操作区域(AO)中运营,该区域可以颠覆性的通信环境和多个空中和基于陆地威胁为特征。这些因素代表了负责成功经营车辆并完成任务目标的人的挑战:UVS运营商。介绍更高级别的自主权减少了所需的人为干预,并释放运营商以执行其他任务,如操作多辆车。介绍自动化可以被视为实现更高级别的自主权的关键组成部分,并需要自动化管理策略来解决低级和高级控制需求,也需要减轻可能的负面副作用,例如自动化偏见,自满,局面意识丧失。在UVS控制领域,在检查自动化管理策略和减少与高度自主水平相关的影响的影响,已经完成了很多工作,而C2机器人系统互操作性的面积则完成了很少的作品。特别是,实现自动化策略在车辆控制系统和操作员界面之间的自动化系统之间需要完美的通信,以及 - 在更高级别的抽象中 - 使用命令和控制(C2)系统。本研究探讨了利用战斗管理语言作为一种正式语言的概念,跨系统进行机器到机器通信,作为满足C2机器人系统互操作性的要求。 SISO正在开发联盟战斗管理语言(C-BML)作为军事任务的数字化表示,并在C2,模拟和机器人系统之间交换的报告信息。 C-BML的明确和数字化性质使其成为任务和从UV的任务和接收信息的优秀候选者。更具体地,本文考虑了控制无人驾驶空中车辆(UAV)的一些新兴要求,并探讨了C-BML作为无人机地面控制系统(GCS)接口的一部分。

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