Fast Learning of Human Interaction Behavior: Learning Patterns of User Interaction on the LEA Robot

This thesis describes three different predictive frameworks which are applied to improve the interaction behavior between a robot and their users. Machine learning is used to train the frameworks. The training data contains information obtained from one user over a period of approximately 3 to 30 days. This work is applied to the LEA robot: an...