Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Vision-based Manipulation of Deformable and Rigid Objects Using Subspace
  Projections of 2D Contours   This paper proposes a unified vision-based manipulation framework using image
contours of deformable/rigid objects. Instead of using human-defined cues, the
robot automatically learns the features from processed vision data. Our method
simultaneously generates -- from the same data -- both, visual features and the
interaction matrix that relates them to the robot control inputs. Extraction of
the feature vector and control commands is done online and adaptively, with
little data for initialization. The method allows the robot to manipulate an
object without knowing whether it is rigid or deformable. To validate our
approach, we conduct numerical simulations and experiments with both deformable
and rigid objects.

19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
32
The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph