16th Annual Conference of the International Speech Communication Association

Dresden, Germany
September 6-10, 2015

Using Semantic Maps for Robust Natural Language Interaction with Robots

Emanuele Bastianelli (1), Danilo Croce (1), Roberto Basili (1), Daniele Nardi (2)

(1) Università di Roma “Tor Vergata”, Italy
(2) Università di Roma “La Sapienza”, Italy

Modern robotic architectures are equipped with sensors enabling a deep analysis of the environment. In this work, we aim at demonstrating that such perceptual information (here modeled through semantic maps) can be effectively used to enhance the language understanding capabilities of the robot. A robust lexical mapping function based on the Distributional Semantics paradigm is here proposed as a basic model of grounding language towards the environment. We show that making such information available to the underlying language understanding algorithms improves the accuracy throughout the entire interpretation process.

Full Paper

Bibliographic reference.  Bastianelli, Emanuele / Croce, Danilo / Basili, Roberto / Nardi, Daniele (2015): "Using semantic maps for robust natural language interaction with robots", In INTERSPEECH-2015, 1393-1397.