Name
Title | ||
|---|---|---|
Neural Network Based Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction |
Abstract | ||
|---|---|---|
•We address the problem of robot gaze control in human–robot social interactions.•The robot learns without human supervision, via a reinforcement learning approach.•Our reinforcement learning method uses neural networks on multimodal data.•Pretraining on a simulated environment avoids long training periods with humans.•We test our proposal on simulated data, and on offline and online real data. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patrec.2018.05.023 | Pattern Recognition Letters |
Keywords | Field | DocType |
Reinforcement learning,Human–robot interaction,Robot gaze control,Neural networks,Transfer learning,Multimodal data fusion | Robot learning,Social robot,Gaze,Recurrent neural network,Psychology,Artificial intelligence,Robot,Artificial neural network,Human–robot interaction,Reinforcement learning | Journal |
Volume | ISSN | Citations |
118 | 0167-8655 | 5 |
PageRank | References | Authors |
0.42 | 18 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stéphane Lathuilière | 1 | 33 | 5.98 |
| B.R Mâsse | 2 | 36 | 8.46 |
| Pablo Mesejo | 3 | 16 | 3.01 |
| Radu Horaud | 4 | 2776 | 261.99 |