Natural Language for Human-Robot Collaboration: Problems Beyond Language Grounding

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.

Publication
Proceedings of the AI-HRI Symposium at AAAI-FSS 2021

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