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.
Chella, A., Sorbello, R., Pilato, G., Vassallo, G., Balistreri, G., Giardina, M. (2011). An architecture with a mobile phone interface for the interaction of a human with a humanoid robot expressing emotions and personality. In R. Pirrone, F. Sorbello (a cura di), AI*IA 2011: Artificial Intelligence Around Man and Beyond XIIth International Conference of the Italian Association for Artificial Intelligence (pp. 117-126). Springer Verlag [10.1007/978-3-642-23954-0].
An architecture with a mobile phone interface for the interaction of a human with a humanoid robot expressing emotions and personality
CHELLA, Antonio;SORBELLO, Rosario;VASSALLO, Giorgio;GIARDINA, Marcello Emanuele
2011-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.