Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Natural Language for Human-Robot Collaboration: Problems Beyond Language
  Grounding   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.

21
The categories of this paper are: adap-org
17
The categories of this paper are: q-fin
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph