Natural Language for Human-Robot Collaboration: Problems Beyond Language Grounding
arXiv:2110.04441v111 citations
Originality Synthesis-oriented
AI Analysis
It addresses incremental improvements in human-robot collaboration by focusing on language problems beyond grounding, potentially aiding robotics and AI researchers.
The paper identifies location, planning, and generation as understudied language processing aspects for robots instructing humans in collaborations, proposing evaluations and baselines for these tasks.
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.