In this work, we describe, demonstrate and evaluate an integrated cognitive robotic architecture which can learn cognitive affordances for objects from natural language and immediately use this knowledge in a dialoguebased learning and instruction task.
@inproceedings{sarathy2018affordanceACS,
title={Learning Cognitive Affordances for Objects from Natural Language Instruction},
author={Vasanth Sarathy and Bradley Oosterveld and Evan Krause and Matthias Scheutz},
year={2018},
booktitle={Proceedings of the Sixth Annual Conference on Advances in Cognitive Systems},
url={https://hrilab.tufts.edu/publications/sarathy2018affordanceACS.pdf}
}