Emotion and sociable humanoid robots
International Journal of Human-Computer Studies - Application of affective computing in human—Computer 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
Demonstration: first steps in emotional expression of the humanoid robot Nao
Proceedings of the 2009 international conference on Multimodal interfaces
A Conceptual Probabilistic Model for the Induction of Image Semantics
ICSC '10 Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing
MPML3D: Scripting Agents for the 3D Internet
IEEE Transactions on Visualization and Computer Graphics
SentiFul: A Lexicon for Sentiment Analysis
IEEE Transactions on Affective 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
| Hi-index | 0.00 |
In this paper is illustrated the cognitive architecture of a humanoid robot based on the proposed paradigm of Latent Semantic Analysis (LSA). This paradigm is a step towards the simulation of an emotional behavior of a robot interacting with humans. The LSA approach allows the creation and the use of a data driven high-dimensional conceptual space. We developed an architecture based on three main areas: Sub-conceptual, Emotional and Behavioral. The first area analyzes perceptual data coming from the sensors. The second area builds the sub-symbolic representation of emotions in a conceptual space of emotional states. The last area triggers a latent semantic behavior which is related to the humanoid emotional state. The robot shows its overall behavior also taking into account its "personality". We implemented the system on a Aldebaran NAO humanoid robot and we tested the emotional interaction with humans through the use of a mobile phone as an interface.