Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Imitation Learning Based on Bilateral Control for Human-Robot
  Cooperation   Robots are required to autonomously respond to changing situations. Imitation
learning is a promising candidate for achieving generalization performance, and
extensive results have been demonstrated in object manipulation. However,
cooperative work between humans and robots is still a challenging issue because
robots must control dynamic interactions among themselves, humans, and objects.
Furthermore, it is difficult to follow subtle perturbations that may occur
among coworkers. In this study, we find that cooperative work can be
accomplished by imitation learning using bilateral control. Thanks to bilateral
control, which can extract response values and command values independently,
human skills to control dynamic interactions can be extracted. Then, the task
of serving food is considered. The experimental results clearly demonstrate the
importance of force control, and the dynamic interactions can be controlled by
the inferred action force.

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The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an