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RESEARCH

Robot Interactive Learning through Human Assistance
G. Ferrer, A. Garrell, M. Villamizar, I. Huerta and A. Sanfeliu

Abstract - This chapter presents some real-life examples of using the interactive multimodal framework to robot interactive learning through human assistance. The basic idea is to use the human feedback to improve the learning behavior of the robot when it deals with human beings. We show three different prototypes that have been developed for the following topics: interactive motion learning for robot companion; robot's proactively seeking interaction; and online face learning using robot vision. The objective of the first prototype is to learn how a robot has to approach to a pedestrian who is going to a destination, minimizing the disturbances to the expected person's path. The aim of the second prototype is to invite a person to approach the robot to initiate a dialogue. Finally the objective of the third prototype is to learn the face of the person that is invited for a dialogue. The three prototypes have been tested in real-life conditions and the results are very promising.

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