Being able to quickly and naturally teach robots new knowledge is critical for many future open-world human-robot interaction scenarios. We present a novel approach to using natural language context for one-shot learning of visual objects, where the robot is immediately able to recognize the described object.
@inproceedings{krauseetal14aaai,
title={Learning to Recognize Novel Objects in One Shot through Human-Robot Interactions in Natural Language Dialogues},
author={Evan Krause and Michael Zillich and Tom Williams and Matthias Scheutz},
year={2014},
booktitle={Proceedings of Twenty-Eighth AAAI Conference on Artificial Intelligence},
url={https://hrilab.tufts.edu/publications/krauseetal14aaai.pdf}
}