What Stands-in for a Missing Tool? A Prototypical Grounded Knowledge-based Approach to Tool Substitution
Abstract
When a robot is operating in a dynamic environment, it cannot be assumed that a tool required to solve a given task will always be available. In case of a missing tool, an ideal response would be to find a substitute to complete the task. In this paper, we present a proof of concept of a grounded knowledge-based approach to tool substitution. In order to validate the suitability of a substitute, we conducted experiments involving 22 substitution scenarios. The substitutes computed by the proposed approach were validated on the basis of the experts' choices for each scenario. Our evaluation showed, in 20 out of 22 scenarios (91%), the approach identified the same substitutes as experts.
Keywords
Cite
@article{arxiv.1808.06423,
title = {What Stands-in for a Missing Tool? A Prototypical Grounded Knowledge-based Approach to Tool Substitution},
author = {Madhura Thosar and Christian A. Mueller and Sebastian Zug},
journal= {arXiv preprint arXiv:1808.06423},
year = {2018}
}
Comments
This work is accepted for the 11th International Cognitive Robotics Workshop (CogRob) of the 16th International Conference on Principles of Knowledge Representation and Reasoning (KR), Tempe, Arizona, November, 2018