A Wrapper-based Approach to Robot Learning Concepts from Images.
Résumé
This work is about the building of a lexicon of shared symbols between a Pioneer2DX mobile robot and its human interlocutors. This lexicon contains words corresponding to objects seen in the environment. The difficulty relies in grounding these symbols with the actual data provided by the camera of the robot with respect to the learning scenario shown in figure