We describe an approach to generating explanations about why robot actions fail, focusing on the considerations of robots that are run by cognitive robotic architectures. We define a set of Failure Types and Explanation Templates, motivating them by the needs and constraints of cognitive architectures that use action scripts and interpretable belief states, and describe content realization and surface realization in this context. We then describe an evaluation that can be extended to further study the effects of varying the explanation templates.
@inproceedings{thielstrom2020generating,
title={Generating Explanations of Action Failures in a Cognitive Robotic Architecture},
author={Ravenna Thielstrom and Antonio Roque and Meia Chita-Tegmark and Matthias Scheutz},
year={2020},
booktitle={Proceedings of NL4XAI: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence},
url={https://hrilab.tufts.edu/publications/thielstrom2020generating.pdf}
}