This page shows selected publications from the last years. For a detailed list please refer to the Google Scholar or DBLP page of Stefan Schneegass.
Type of Publication: Article in Collected Edition
Mind the ARm: Realtime Visualization of Robot Motion Intent in Head-Mounted Augmented Reality
- Gruenefeld, Uwe; Prädel, Lars; Illing, Jannike; Stratmann, Tim; Drolshagen, Sandra; Pfingsthorn, Max
- Title of Anthology:
- Proceedings of the Conference on Mensch Und Computer (MuC)
- Association for Computing Machinery
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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 users 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.