A main goal of human-robot interaction research is to make human-robot interactions as natural as possible. Critically, this includes natural language (NL) interactions, even though NL capabilities were traditiona lly either not included at all in robotic architectures or at best restricted to simple command-based interfaces.
In this presentation, I will provide an overview of our architectural w ork in NL-based human-robot interaction, with focus on the pragmatic aspects of situated NL understanding and generation. In addition to showing various algorithms for handling different pragmatics aspects, I will also show videos from human-robot interaction scenarios that demonstrate the performance of the proposed algorithms.
School of Informatics and Computing, Indiana University.