Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Localizing the Object Contact through Matching Tactile Features with
  Visual Map   This paper presents a novel framework for integration of vision and tactile
sensing by localizing tactile readings in a visual object map. Intuitively,
there are some correspondences, e.g., prominent features, between visual and
tactile object identification. To apply it in robotics, we propose to localize
tactile readings in visual images by sharing same sets of feature descriptors
through two sensing modalities. It is then treated as a probabilistic
estimation problem solved in a framework of recursive Bayesian filtering.
Feature-based measurement model and Gaussian based motion model are thus built.
In our tests, a tactile array sensor is utilized to generate tactile images
during interaction with objects and the results have proven the feasibility of
our proposed framework.

17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
22
The categories of this paper are: chao-dyn