6533b837fe1ef96bd12a3308
RESEARCH PRODUCT
An Emphatic Humanoid Robot with Emotional Latent Semantic Behavior
Rosario SorbelloGiovanni PilatoFrancesco CinquegraniAntonio ChellaGiorgio VassalloSalvatore Maria Anzalonesubject
Personal robotSocial robotEntertainment robotComputer sciencebusiness.industryLatent semantic analysisMobile robotRobot learningMobile robot navigationHuman–computer interactionRobotics Latent semantic analysisComputer visionArtificial intelligencebusinessHumanoid robotdescription
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 emotionalassociative 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
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2008-01-01 |