Proceedings:
No. 18: AAAI-21 Student Papers and Demonstrations
Volume
Issue:
Proceedings of the AAAI Conference on Artificial Intelligence, 35
Track:
The Twenty-Sixth AAAI/SIGAI Doctoral Consortium
Downloads:
Abstract:
Interactive Task Learning (ITL) is an approach to teaching robots new tasks through language and demonstration. It relies on the fact that people have experience teaching each other. However, this can be challenging if the human instructor does not have an accurate mental model of a robot. This mental model consists of the robot’s knowledge, capabilities, shortcomings, goals, and intentions. The research question that I investigate is “How can the robot help the human build a better mental model of the robot?”
DOI:
10.1609/aaai.v35i18.17862
AAAI
Proceedings of the AAAI Conference on Artificial Intelligence, 35