Emotion and sociable humanoid robots
International Journal of Human-Computer Studies - Application of affective computing in humanComputer interaction
A cognitive architecture for robot self-consciousness
Artificial Intelligence in Medicine
An Emphatic Humanoid Robot with Emotional Latent Semantic Behavior
SIMPAR '08 Proceedings of the 1st International Conference on Simulation, Modeling, and Programming for Autonomous Robots
A Conceptual Probabilistic Model for the Induction of Image Semantics
ICSC '10 Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing
A conversational agent based on a conceptual interpretation of a data driven semantic space
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
An emotion model of 3d virtual characters in intelligent virtual environment
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
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In this paper we illustrate the cognitive architecture of a humanoid robot based on the proposed paradigm of Latent Semantic Analysis (LSA). The LSA approach allows the creation and the use of a data driven high-dimensional conceptual space. This paradigm is a step towards the simulation of an emotional behavior of a robot interacting with humans. The Architecture is organized in three main areas: Sub-conceptual, Emotional and Behavioral. The first area processes perceptual data coming from the sensors. The second area is the “conceptual space of emotional states” which constitutes the sub-symbolic representation of emotions. The last area activates a latent semantic behavior related to the humanoid emotional state. The robot generates its overall behavior also taking into account its “personality”. To validate the system, we implemented the system on a Aldebaran NAO humanoid robot.