Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Semantic State Estimation in Cloth Manipulation Tasks   Understanding of deformable object manipulations such as textiles is a
challenge due to the complexity and high dimensionality of the problem.
Particularly, the lack of a generic representation of semantic states (e.g.,
\textit{crumpled}, \textit{diagonally folded}) during a continuous manipulation
process introduces an obstacle to identify the manipulation type. In this
paper, we aim to solve the problem of semantic state estimation in cloth
manipulation tasks. For this purpose, we introduce a new large-scale
fully-annotated RGB image dataset showing various human demonstrations of
different complicated cloth manipulations. We provide a set of baseline deep
networks and benchmark them on the problem of semantic state estimation using
our proposed dataset. Furthermore, we investigate the scalability of our
semantic state estimation framework in robot monitoring tasks of long and
complex cloth manipulations.

5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
34
The categories of this paper are: chem-ph
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol