Bringing up robots or—the psychology of socially intelligent robots: from theory to implementation
Proceedings of the third annual conference on Autonomous Agents
Learning human-like knowledge by singular value decomposition: a progress report
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
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 Architecture For Humanoid Robot Expressing Emotions And Personality
Proceedings of the 2010 conference on Biologically Inspired Cognitive Architectures 2010: Proceedings of the First Annual Meeting of the BICA Society
ICSR'10 Proceedings of the Second international conference on Social robotics
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
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In this paper we propose an Entertainment Humanoid Robot model based on Latent Semantic Analysis, that tries to exhibit an emotional behavior in the interaction with human. Latent Semantic Analysis (LSA), based on vector space allows the coding of the words semantics by specific statistical computations applied to a large corpus of text. We illustrate how the creation and the use of this emotional conceptual space can provide a framework upon which to build "Latent Semantic Behavior" because it simulates the emotional-associative capabilities of human beings. This approach integrates traditional knowledge representation with intuitive capabilities provided by geometric and sub-symbolic information modeling. To validate the effectiveness of our approach we have simulated an Humanoid Robot Robovie-M on dInfoBots a linux based framework developed in our Mobile Robot Lab.