基于不同视点的无人机控制信息人群界面可用性评价

C. Recchiuto, A. Sgorbissa, R. Zaccaria
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引用次数: 5

摘要

组织大量机器人的一种常用方法,无论是自主移动还是由人类操作员控制,都是让它们排成队形移动。这是一个从自然中汲取灵感的原则,它最大限度地提高了监测环境的可能性,从而预测风险并找到目标。在机器人技术中,除了这些原因外,一个机器人团队的组织形式允许人类操作员以更简单的方式处理大量的代理,将群体作为一个单一的实体移动。在这种情况下,视觉反馈的类型是正确的态势感知的基础,但在通常的实践中,拥有最佳的相机配置并不总是可能的。通常,人类操作员在多旋翼上使用摄像机,以自我为中心的视角,而众所周知,在移动机器人中,整体感知和模式识别是通过外中心视角来优化的。在这篇文章中,我们提出了一个性能的分析,人类操作员控制一群无人机编队,完成不同的任务,并使用不同的观点。控制体系结构在ROS框架中实现,并与3D仿真环境接口。实验测试表明,在使用以自我为中心的相机时,相对于外心视角,性能会下降,尽管机器人上的相机可以令人满意地完成简单的任务。
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Usability evaluation with different viewpoints of a Human-Swarm interface for UAVs control in formation
A common way to organize a high number of robots, both when moving autonomously and when controlled by a human operator, is to let them move in formation. This is a principle that takes inspiration from the nature, that maximizes the possibility of monitoring the environment and therefore of anticipating risks and finding targets. In robotics, alongside these reasons, the organization of a robot team in a formation allows a human operator to deal with a high number of agents in a simpler way, moving the swarm as a single entity. In this context, the typology of visual feedback is fundamental for a correct situational awareness, but in common practice having an optimal camera configuration is not always possible. Usually human operators use cameras on board the multirotors, with an egocentric point of view, while it is known that in mobile robotics overall awareness and pattern recognition are optimized by exocentric views. In this article we present an analysis of the performance achieved by human operators controlling a swarm of UAVs in formation, accomplishing different tasks and using different point of views. The control architecture is implemented in a ROS framework and interfaced with a 3D simulation environment. Experimental tests show a degradation of performance while using egocentric cameras with respect of an exocentric point of view, although cameras on board the robots allow to satisfactorily accomplish simple tasks.
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