一种无需操作的多机器人显示器,用于向操作员传达情况感知

J. Crossman, Robert P. Marinier, Edwin Olson
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引用次数: 16

摘要

在本文中,我们介绍了实现这一目标的工作,使操作员能够有效地保持对异构机器人团队的态势感知。大多数现有的操作员控制单元(ocu)是为单个机器人的远程操作而设计的,需要操作员的持续关注。随着机器人在拆弹等重要领域的作用日益增强;情报、监视和侦察(ISR);对于搜救来说,提高这一比例至关重要,因为它可以让多个机器人由一个操作员监控和控制。为了实现这一目标,我们开发了情境、行动、目标和环境(SAGE)界面,该界面利用多种技术,通过帮助操作员在控制地面机器人团队时的感知、理解和投影来维持操作员的情境感知。我们开发的技术包括动态视图控制,事件检测和优先级,不确定性显示,使状态信息全局可见的视图不变标记,以及避免干扰的动画。SAGE的界面是自动化的,完全不用手动操作,因此操作员可以节省关键任务(如机器人任务)的交互时间。SAGE是密歇根团队在2010年多自主地面机器人国际挑战赛(MAGIC)中部署的OCU套件的一部分。密歇根队赢得这场比赛的部分原因是其创新的OCU设计,包括SAGE,使两名操作员能够同时控制14个机器人-操作员与机器人的比例为1:7,高于任何其他团队。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hands-off, multi-robot display for communicating situation awareness to operators
In this paper we introduce work toward this goal of enabling an operator to effectively maintain situation awareness over a team of heterogeneous robots. Most existing operator control units (OCUs) are designed for tele-operation of a single robot and require the constant attention of the operator. As the role of robots increase in important fields such as bomb disposal; intelligence, surveillance, and reconnaissance (ISR); and search and rescue it becomes critical to improve this ratio by enabling multiple robots to be monitored and controlled by a single operator. Toward this goal we have developed the Situations, Actions, Goals, and Environment (SAGE) interface, which utilizes numerous techniques for maintaining operator situation awareness by aiding the operator's perception, comprehension, and projection when controlling a team of ground robots. Techniques that we developed include dynamic view control, event detection and prioritization, uncertainty display, view-invariant markers to make state information globally visible, and animations to avoid jarring distractions. SAGE's interface was automated making it completely hands off, thus the operator could save interaction time for critical tasks such robot tasking. SAGE was deployed by Team Michigan as part of its OCU suite in the 2010 Multi-Autonomous Ground-robotic International Challenge (MAGIC). Team Michigan won this competition in part because of its innovative OCU designs, including SAGE, that enabled two operators to control 14 robots simultaneously - a 1-to-7 operator to robot ratio, higher than any other team.
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