Abstract
Robots operate in specific environments and the correct interpretation of linguistic interactions depends on physical, cognitive and language-dependent aspects triggered by the environment. In this work, we describe a Spoken Language Understanding chain for the semantic parsing of robotic commands, designed according to a Client/Server architecture. This work also reports a first evaluation of the proposed architecture in the automatic interpretation of commands expressed in Italian for a robot in a Service Robotics domain. The experimental results show that the proposed solution can be easily extended to other languages for a robust Spoken Language Understanding in Human-Robot Interaction.
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Notes
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In English, “bring the book on the table in the laboratory”.
- 2.
A more detailed description of the proposed SLU Chain along with usage instructions can be found at http://sag.art.uniroma2.it/sluchain.html.
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Vanzo, A., Croce, D., Castellucci, G., Basili, R., Nardi, D. (2016). Spoken Language Understanding for Service Robotics in Italian. In: Adorni, G., Cagnoni, S., Gori, M., Maratea, M. (eds) AI*IA 2016 Advances in Artificial Intelligence. AI*IA 2016. Lecture Notes in Computer Science(), vol 10037. Springer, Cham. https://doi.org/10.1007/978-3-319-49130-1_35
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