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LU4R

LU4R

In the near future, service robots are expected to operate in human-populated environments. A major feature of such robotic platforms is thus the ability to react to spoken commands. This requires the understanding of the user utterance with an accuracy able to trigger the robot reaction. In the LU4R project, we present an adaptive spoken Language Understanding for(4) Robots, where the interpretation of linguistic exchanges depends on physical, cognitive and language-dependent aspects related to the environment.
Italy


LU4R

Dipartimento di Ingegneria dell’Impresa, Università degli Studi di Roma “Tor Vergata” LU4R è il risultato della collaborazione tra il Semantic Analytics Group dell’Università degli Studi di Roma Tor Vergata e il Laboratory of Cognitive Cooperat

Roberto Basili is Associate Professor at the Faculty of Engineering, University of Roma, Tor Vergata, since May 2003. His research started in 1990 on problems, methodologies and technologies of Artificial Intelligence, in the area of Knowledge Representation, Machine Learning, and Natural Language Processing as well as in the Engineering of Distributed and Web-oriented Natural Language Processing and Information Retrieval Systems. Roberto Basili founded and coordinates SAG (http://sag.art.uniroma2.it). Mor details also at: https://scholar.google.it/citations?user=U1A22fYAAAAJ&hl=it


Stand A9 (pav. 6) - Università degli Studi di Tor Vergata

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Data updated on 2017-12-04 - 1.30.07 pm