Learning postures through an imitation game between a human and a robot
In this paper, we investigate a sensory-motor architecture allowing a robot to learn to recognize postures. The learning is performed without a teaching signal that associates a specific posture with the robot's motor internal state. Our architecture assumes that the robot initially performs po...
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| creator | Boucenna, S. Delaherche, E. Chetouani, M. Gaussier, P. |
| description | In this paper, we investigate a sensory-motor architecture allowing a robot to learn to recognize postures. The learning is performed without a teaching signal that associates a specific posture with the robot's motor internal state. Our architecture assumes that the robot initially performs postures, then the human imitates them. An on-line learning scheme without an explicit reward or ad-hoc detection mechanism or a formatted teaching technique is proposed. Investigations on how a "naive" system can learn to imitate correctly another person's posture during a natural interaction motivate the current research work. |
| doi_str_mv | 10.1109/DevLrn.2012.6400880 |
| format | Conference Proceeding |
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| ispartof | 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), 2012, p.1-2 |
| issn | 2161-9476 |
| language | eng |
| recordid | cdi_ieee_primary_6400880 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Artificial Intelligence Cognitive science Computer Science Computer Vision and Pattern Recognition Education Face recognition Feature extraction Humans Neuroscience Psychology Robot sensing systems Robotics Signal and Image Processing Visualization |
| title | Learning postures through an imitation game between a human and a robot |
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