Name
Abstract | ||
|---|---|---|
In this demonstration we present a repertoire of social signals generated by the humanoid robot Pepper in the context of the EU-funded project MuMMER. The aim of this research is to provide the robot with the expressive capabilities required to interact with people in real-world public spaces such as shopping malls-and being able to control the non-verbal behaviour of such a robot is key to engaging with humans in an effective way. We propose an approach to modulating the non-verbal social signals of the robot based on systematically varying the amplitude and speed of the joint motions and gathering user evaluations of the resulting gestures. We anticipate that the humans' perception of the robot behaviour will be influenced by these modulations
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Year | Venue | Field |
|---|---|---|
2017 | ICMI | Robot learning,Social robot,Computer vision,Robot control,Computer science,Gesture,Human–computer interaction,Artificial intelligence,Robot,Human–robot interaction,Mobile robot,Humanoid robot |
DocType | ISBN | Citations |
Conference | 978-1-4503-5543-8 | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amol Deshmukh | 1 | 58 | 11.09 |
| Bart G. W. Craenen | 2 | 2 | 1.04 |
| A. Vinciarelli | 3 | 29 | 4.92 |
| Mary Ellen Foster | 4 | 364 | 36.47 |