Teaching a Humanoid Robot to Recognize and Reproduce Social Cues

In a Robot Programming by Demonstration framework, several demonstrations of a task are required to generalize and reproduce the task under different circumstances. To teach a task to the robot, explicit pointers are required to signal the start/end of a demonstration and to switch between the learning/reproduction phases. Coordination of the learning system can be achieved by adding social cues to the interaction process. Here, we propose to use an imitation game to teach a humanoid robot to recognize communicative gestures, which then serve as social signals in a pointing-at-objects scenario. The system is based on Hidden Markov Models (HMMs) and use motion sensors to track the user's gestures.


Published in:
Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 346-351
Presented at:
IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Hatfield, UK, 6-8 September
Year:
2006
Keywords:
Laboratories:




 Record created 2007-04-12, last modified 2018-03-17

n/a:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)