基于虚拟现实的机器人遥操作空间缩放

Bukeikhan Omarali, Shafiq Javaid, Maurizio Valle, I. Farkhatdinov
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引用次数: 0

摘要

我们探讨了在机器人遥控操作任务中,人类操作员如何执行用于表示远程物理环境的虚拟现实(VR)场景的手动缩放。在我们的实验中,15名人类参与者被要求在虚拟现实场景中使用基于手势的手动导航,允许他们改变虚拟世界的虚拟到真实的规模,并在监督机器人控制模式下执行简单的拾取任务。我们比较了参与者的虚拟世界规模,在一个为期3天的实验开始时,他们被认为是新手远程操作员,在结束时,他们被认为是专家远程操作员。专家远程操作员作为一个群体使用较小的虚拟世界规模,使他们能够比新手更快地执行实验任务,尽管这种行为不是每个远程操作员单独表现出来的。我们的研究还表明,参与者之前的电子游戏经历会影响虚拟世界的规模,因为有电子游戏经历的参与者使用的虚拟世界规模更小,完成实验任务的速度更快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Workspace Scaling in Virtual Reality based Robot Teleoperation
We explore how human-operators perform manual scaling of virtual reality (VR) scenes used to represent remote physical environments in robotic telemanipulation tasks. In our experiment, 15 human-participants were asked to use manual gesture-based navigation in a VR scene that allowed them to change the virtual-to-real scale of the virtual world and perform a simple pick-and-place task in supervised robot control mode. We have compared the virtual world scale of participants at the beginning of a 3-day experiment when they were considered to be novice teleoperators and at the end of it when they were considered to be expert teleoperators. Expert teleoperators as a group used a smaller virtual world scale that allowed them to perform the experimental task faster than novices, although this behaviour was not exhibited by every teleoperator individually. Our study also demonstrated that participants’ prior video gaming experience affects the virtual world scale as participants with video gaming experience used smaller virtual world scales and performed the experimental task faster.
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