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

Seth Pate; Wei Xu; Ziyi Yang; Maxwell Love; Siddarth Ganguri; Lawson L. S. Wong

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

Artificial Intelligence 2021-10-12 v1 Computation and Language Robotics

Authors: Seth Pate , Wei Xu , Ziyi Yang , Maxwell Love , Siddarth Ganguri , Lawson L. S. Wong

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.

Keywords

human-robot interaction robotics robot learning

Cite

@article{arxiv.2110.04441,
  title  = {Natural Language for Human-Robot Collaboration: Problems Beyond Language Grounding},
  author = {Seth Pate and Wei Xu and Ziyi Yang and Maxwell Love and Siddarth Ganguri and Lawson L. S. Wong},
  journal= {arXiv preprint arXiv:2110.04441},
  year   = {2021}
}

Comments

5 pages, 2 figures, Presented at AI-HRI symposium as part of AAAI-FSS 2021 (arXiv:2109.10836)

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