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Mind the ARm: realtime visualization of robot motion intent in head-mounted augmented reality

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Text/Conference Paper
Datum
2020
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Quelle
Mensch und Computer 2020 - Tagungsband
MCI: Full Paper
Verlag
ACM
Zusammenfassung
Established safety sensor technology shuts down industrial robots when a collision is detected, causing preventable loss of productivity. To minimize downtime, we implemented three Augmented Reality (AR) visualizations (Path, Preview, and Volume) which allow humans to understand robot motion intent and give way to the robot. We compare the different visualizations in a user study in which a small cognitive task is performed in a shared workspace. We found that Preview and Path required significantly longer head rotations to perceive robot motion intent. Volume, however, required the shortest head rotation and was perceived as most safe, enabling closer proximity of the robot arm before one left the shared workspace without causing shutdowns.
Beschreibung
Gruenefeld, Uwe; Prädel, Lars; Illing, Jannike; Stratmann, Tim; Drolshagen, Sandra; Pfingsthorn, Max (2020): Mind the ARm: realtime visualization of robot motion intent in head-mounted augmented reality. Mensch und Computer 2020 - Tagungsband. DOI: 10.1145/3404983.3405509. New York: ACM. pp. 259–266. MCI: Full Paper. Magdeburg. 6.-9. September 2020
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