In the last years robotic platforms have appeared in many research and everyday life contexts. An easy way of interacting with them has then become a necessity. Human Robot Interaction is the research field that aims at studying how robots can interact with humans in the most natural way. In this work we will present preliminary studies that we have been done in this direction, focusing on Natural Language based interaction, with particular attention to the grounding problem. In particular, we will study how Statistical Machine Learning techniques can be applied to Natural Language as it is used to interact with robots. Moreover, we will also investigate how this approach can be integrated in such complex systems.
CITATION STYLE
Bastianelli, E. (2013). Talking robots. In CEUR Workshop Proceedings (Vol. 1126, pp. 2–8). CEUR-WS. https://doi.org/10.1007/978-1-4471-5102-9_179-1
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