We propose novel mechanisms for inferring intentions from utterances and generating clarification requests that will allow robots to cope with a much wider range of task-based natural language interactions. We demonstrate the potential of these inference algorithms for natural human-robot interactions by running them as part of an integrated cognitive robotic architecture on a mobile robot in a dialogue-based instruction task.
@inproceedings{williamsetal15aaai,
title={Going Beyond Command- Based Instructions: Extending Robotic Natural Language Interaction Capabilities},
author={Tom Williams and Gordon Briggs and Brad Oosterveld and Matthias Scheutz},
year={2015},
booktitle={Proceedings of AAAI},
url={https://hrilab.tufts.edu/publications/williamsetal15aaai.pdf}
}