Scholarlink

<p>Efficient fault diagnosis in autonomous robotic systems is essential for minimizing downtime. This study compares the effectiveness of an Augmented Reality (AR) interface and sensor data replay (featuring a 15-second loop before the fault) in diagnosing common robot faults. In a user study, 24 participants experienced a series of eight staged robot fault scenarios. A tablet-based interface, presenting identical information, was favoured over AR due to its effectiveness and ease of use. Participant feedback highlighted the limitations of the AR interface including the low field of view and blurriness, suggesting potential improvements in future AR headset iterations. While a preference for replayed data emerged, it was not supported uniformly, warranting further research. This study advances the exploration of Augmented Reality in human-robot interaction, emphasizing the crucial role of user-friendly interfaces for efficient robot fault diagnosis.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Replayable Augmented Reality Visualization for Robot Fault Diagnosis: A Comparative Study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年2月5日

查看全文
  • Lachlan Richards,
  • Yew Siang Ku,
  • Alexander Calvert,
  • Joshua Migdal,
  • Gabriel Hebert,
  • Elizabeth Croft,
  • Akansel Cosgun

摘要

Efficient fault diagnosis in autonomous robotic systems is essential for minimizing downtime. This study compares the effectiveness of an Augmented Reality (AR) interface and sensor data replay (featuring a 15-second loop before the fault) in diagnosing common robot faults. In a user study, 24 participants experienced a series of eight staged robot fault scenarios. A tablet-based interface, presenting identical information, was favoured over AR due to its effectiveness and ease of use. Participant feedback highlighted the limitations of the AR interface including the low field of view and blurriness, suggesting potential improvements in future AR headset iterations. While a preference for replayed data emerged, it was not supported uniformly, warranting further research. This study advances the exploration of Augmented Reality in human-robot interaction, emphasizing the crucial role of user-friendly interfaces for efficient robot fault diagnosis.