Abstract
Trained human co-workers can often easily predict each other's intentions based on prior experience. When collaborating with a robot coworker, however, intentions are hard or impossible to infer. This difficulty of mental introspection makes human-robot collaboration challenging and can lead to dangerous misunderstandings. In this paper, we present a novel, object-aware projection technique that allows robots to visualize task information and intentions on physical objects in the environment. The approach uses modern object tracking methods in order to display information at specific spatial locations taking into account the pose and shape of surrounding objects. As a result, a human co-worker can be informed in a timely manner about the safety of the workspace, the site of next robot manipulation tasks, and next subtasks to perform. A preliminary usability study compares the approach to collaboration approaches based on monitors and printed text. The study indicates that, on average, the user effectiveness and satisfaction is higher with the projection based approach.
Original language | English (US) |
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Title of host publication | 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 294-301 |
Number of pages | 8 |
ISBN (Electronic) | 9781509039296 |
DOIs | |
State | Published - Nov 15 2016 |
Event | 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016 - New York, United States Duration: Aug 26 2016 → Aug 31 2016 |
Other
Other | 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016 |
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Country | United States |
City | New York |
Period | 8/26/16 → 8/31/16 |
ASJC Scopus subject areas
- Artificial Intelligence
- Social Psychology
- Human-Computer Interaction