The CoTeSys (Cognition for Technical Systems) excellence cluster focused on studying recognition of human intention and emotion and on ways to transfer these abilities to technological systems. Additional work went into designing a multi-modal dialog system for intuitive human-robot interaction.

Recognition of Intent

Recognition of intent is important if an interaction is to go smoothly. Not only must the robot’s actions be transparent for the human – the robot, too, must reliably recognize the intentions of the human and take them into consideration when planning a path and action.

Emotions

Emotions play a major role in human communication. Manufacturers of humanoid robots (Nao, Pepper) have realized that robots are more likely to be accepted if they appear human and friendly. Human mistakes can sometimes be compensated through humor. Basic research has been conducted to investigate whether this also applies to robots.

Literature

Nitsch, Verena; Popp, Michael M.: „Emotions in Robot Psychology“. In: Structural Aspects of Biological Cybernetics: Valentino Braitenberg, Neuroanatomy, and Brain Function; Biological Cybernetics 108, 2014. S. 621-629.

Wendt, Cornelia; Popp, Michael M.; Färber, Berthold: "Emotion Induction during Human-Robot Interaction". In: Proceedings of the 4th ACM/IEEE International Conference on Human-Robot Interaction. 2009. S. 213-214.  

Karg, Michelle; Sosnowski, Stefan; Kühnlenz, Kolja; Buss, Martin; Wendt, Cornelia; Popp, Michael M.; Färber, Berthold: "Human Emotion Model using HMM." In: Proceedings of the 1st International Workshop on Cognition for Technical Systems, Munich, 2008.

Wendt, Cornelia; Schmidt, S.; Popp, Michael M.; Färber, Berthold; Wallhoff, Frank; Gast, Jürgen: "Modal Human-Human and Human-Robot Interaction". In: Proceedings of the 1st International Workshop on Cognition for Technical Systems, Munich, 2008. 

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