Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dynamic Manipulation of Flexible Objects with Torque Sequence Using a
  Deep Neural Network   For dynamic manipulation of flexible objects, we propose an acquisition
method of a flexible object motion equation model using a deep neural network
and a control method to realize a target state by calculating an optimized
time-series joint torque command. By using the proposed method, any physics
model of a target object is not needed, and the object can be controlled as
intended. We applied this method to manipulations of a rigid object, a flexible
object with and without environmental contact, and a cloth, and verified its
effectiveness.

21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
16
The categories of this paper are: stat
34
The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
8
The categories of this paper are: hep-ex
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc