Human-Robot Cooperation Based on Interaction Learning

Stéphane Lallée, Eiichi Yoshida, Anthony Mallet, Francesco Nori, Lorenzo Natale, Giorgio Metta, Felix Warneken, Peter Ford Dominey

Abstract: Robots are now physically capable of locomotion, object manipulation, and an essentially unlimited set of sensory motor behaviors. This sets the scene for the corresponding technical challenge: how can non-specialist human users interact with these robots for human robot cooperation? Crangle and Suppes stated in [1] : “the user should not have to become a programmer, or rely on a programmer, to alter the robot’s behavior, and the user should not have to learn specialized technical vocabulary to request action from a robot.” To achieve this goal, one option is to consider the robot as a human apprentice and to have it learn through its interaction with a human. This chapter reviews our approach to this problem.