Robots that interact with humans face-to-face using natural language need to be responsive to the way humans use language in those situations. We propose a psychologicallyinspired natural language processing system for robots which performs incremental semantic interpretation of spoken utterances, integrating tightly with the robot's perceptual and motor systems.
@inproceedings{brickscheutz07hri,
title={Incremental Natural Language Processing for HRI},
author={Timothy Brick and Matthias Scheutz},
year={2007},
month={March},
booktitle={Proceedings of the Second ACM IEEE International Conference on Human-Robot Interaction},
pages={263--270}
url={https://hrilab.tufts.edu/publications/brickscheutz07hri.pdf}
}