Natural Language for Human-Robot Collaboration: Problems Beyond Language Grounding
arXiv:2110.04441
Abstract
To enable robots to instruct humans in collaborations, we identify several aspects of language processing that are not commonly studied in this context. These include location, planning, and generation. We suggest evaluations for each task, offer baselines for simple methods, and close by discussing challenges and opportunities in studying language for collaboration.
5 pages, 2 figures, Presented at AI-HRI symposium as part of AAAI-FSS 2021 (arXiv:2109.10836)