Human-robot interaction for intelligent assisted viewing during teleoperation
Human-robot interaction for intelligent assisted viewing during teleoperation
复制标题
远程操作期间智能辅助查看的人机交互
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
P. Schenker
中科院分区：
文献类型：
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作者：
G. McKee;B. Brooks;P. Schenker
视觉行为理论旨在为遥操作过程中的摄像机视点选择提供智能辅助。它结合了任务的自上而下的分区和操作员的自下而上的监控，以选择与任务相关的摄像机视点。以前的实验研究表明，视觉行为提供了足够的质量，让操作员完成一项任务的相机视图。在相机系统复杂且难以掌握的情况下，它会选择比操作员更好的视点。在本文中，我们提出了一种替代架构，其中包括一个观点选择算法，重点放在操作员下一步应该做什么，而不是他目前正在做什么。实验结果表明，这种简单的算法执行以及更迂腐的视觉行为算法，并提高了更大的认识，操作员的3D信息。研究结果有助于更好地理解人-机器人交互的遥操作场景。
The visual acts theory aims to provide intelligent assistance for camera viewpoint selection during teleoperation. It combines top-down partitioning of a task and bottom-up monitoring of the operator to select task-relevant camera viewpoints. Previous experimental studies have shown that visual acts provides camera views of sufficient quality to allow an operator to complete a task. In cases where the camera system is complex and difficult to master, it selects better viewpoints than the operator. In this paper we present an alternative architecture incorporating a viewpoint selection algorithm that places emphasis on what the operator should do next, rather than on what he is currently doing. Experimental results are presented showing that this simpler algorithm performs as well as the more pedantic visual acts algorithm, and raises greater awareness of the operator to 3D information. The results contribute to a better understanding of human-robot interaction in telerobotic scenarios.