As robot systems become more ubiquitous, developing understandable robot systems becomes increasingly important in order to build trust. In this paper, we present an approach to developing a holistic robot explanation system, which consists of three interconnected components: state summarization, storage and querying, and human interface. To find trends towards and gaps in the development of such an integrated system, a literature review was performed and categorized around those three components, with a focus on robotics applications. After the review of each component, we discuss our proposed approach for robot explanation. Finally, we summarize the system as a whole and review its functionality.
@article{arxiv.1909.06418,
title = {Towards A Robot Explanation System: A Survey and Our Approach to State Summarization, Storage and Querying, and Human Interface},
author = {Zhao Han and Jordan Allspaw and Adam Norton and Holly A. Yanco},
journal= {arXiv preprint arXiv:1909.06418},
year = {2020}
}
Comments
11 pages, 3 figures, the AI-HRI Symposium at AAAI-FSS 2019