Robot with automatic selection of task-specific representations for imitation learning

A method for imitation-learning of movements of a robot, the method comprising:

• observing a movement of an entity in the robot's environment,
• recording the observed movement using a sensorial data stream and representing the recorded movement in a plurality of task space representations,
• automatically selecting, based on cues extracted from the sensorial data stream, a subset of the plurality of task space representations for the imitation learning and reproduction of the movement to be imitated, the subset comprising at least one task space representation or a sequence of different task space representations for the reproduction of the movement wherein the step of selecting a subset of the task space representations uses cues which the robot extracts from the sensorial data stream.