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arXiv 2403.08061cs.RO
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用于基础设施检测的基于凝视的人机交互系统

Gaze-based Human-Robot Interaction System for Infrastructure Inspections

University of California, Los Angeles(加州大学洛杉矶分校);University of Waterloo(滑铁卢大学)

Sunwoong Choi, Zaid Abbas Al-Sabbag, Sriram Narasimhan, Chul Min Yeum

AI总结:

针对基础设施目视检测主观且不可重复的问题,提出基于凝视与混合现实全息图的人机交互系统,实现缺陷属性实时估计和在线进度监测,并通过受控实验验证其有效性。

摘要:

在全球大多数司法辖区,桥梁等关键基础设施都需要进行例行检测。此类例行检测本质上主要依靠视觉,具有定性、主观且不可重复的特点。尽管机器人基础设施检测能够解决这些局限,但它们无法取代专家在复杂情况下做出决策的卓越能力,因此人机交互系统成为一项很有前景的技术。本研究提出了一种新颖的基于凝视的人机交互系统,旨在通过混合现实增强目视检测性能。借助混合现实设备生成的全息图,凝视可被有效用于实时估计缺陷属性。此外,检测人员可以在线监测检测进度,从而提高整个检测流程的速度。有限的受控实验证明了该系统在不同用户和缺陷类型下的有效性。据我们所知,这是眼动凝视在民用基础设施检测中实时应用的首次展示。

英文摘要:

Routine inspections for critical infrastructures such as bridges are required in most jurisdictions worldwide. Such routine inspections are largely visual in nature, which are qualitative, subjective, and not repeatable. Although robotic infrastructure inspections address such limitations, they cannot replace the superior ability of experts to make decisions in complex situations, thus making human-robot interaction systems a promising technology. This study presents a novel gaze-based human-robot interaction system, designed to augment the visual inspection performance through mixed reality. Through holograms from a mixed reality device, gaze can be utilized effectively to estimate the properties of the defect in real-time. Additionally, inspectors can monitor the inspection progress online, which enhances the speed of the entire inspection process. Limited controlled experiments demonstrate its effectiveness across various users and defect types. To our knowledge, this is the first demonstration of the real-time application of eye gaze in civil infrastructure inspections.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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