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Replayable Augmented Reality Visualization for Robot Fault Diagnosis

A Comparative Study

Bibliographic Data

ID21199871
AuthorsLachlan Richards, L Willard Richards (0009-0008-0455-8403, Monash University), Yixuan Ku (0000-0003-2804-5123, Monash University), Yew Siang Ku, Alexander Calvert (Monash University), Joshua Migdal (Amazon (United States)), Gabriel Hebert (Amazon (United States)), Elizabeth A Croft (0000-0002-9639-5291, University of Victoria), Elizabeth Croft, Akansel Cosgun (0000-0003-4203-6477, Deakin University, corresponding author)
Year2025
Volume17
Issue10
Pages2133-2145
Publication date2025-10-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Social Robotics (JOURNAL)
Journal identifiersISSN: 1875-4791 • E-ISSN: 1875-4805
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s12369-025-01219-4
OpenAlexW4407183290
LanguageEN
References cited31

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

Augmented reality · Computer vision · Human–computer interaction · Mechatronics · Robot · Robotics · Visualization · Augmented Reality Applications · Computer Science · Robotics and Automated Systems · Teleoperation and Haptic Systems · Artificial Intelligence

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Highly citedNo

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