"Can you do this?" Self-Assessment Dialogues with Autonomous Robots Before, During, and After a Mission
Abstract
Autonomous robots with sophisticated capabilities can make it difficult for human instructors to assess its capabilities and proficiencies. Therefore, it is important future robots have the ability to: introspect on their capabilities and assess their task performance. Introspection allows the robot to determine what it can accomplish and self-assessment allows the robot estimate the likelihood it will accomplish at given task. We introduce a general framework for introspection and self-assessment that enables robots to have task and performance-based dialogues before, during, and after a mission. We then realize aspects of the framework in the cognitive robotic DIARC architecture, and finally show a proof-of-concept demonstration on a Nao robot showing its self-assessment capabilities before, during, and after an instructed task.
Keywords
Cite
@article{arxiv.2005.01544,
title = {"Can you do this?" Self-Assessment Dialogues with Autonomous Robots Before, During, and After a Mission},
author = {Tyler Frasca and Evan Krause and Ravenna Thielstrom and Matthias Scheutz},
journal= {arXiv preprint arXiv:2005.01544},
year = {2020}
}
Comments
Presented at the 2020 Workshop on Assessing, Explaining, and Conveying Robot Proficiency for Human-Robot Teaming