Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Robot kinematic structure classification from time series of visual data   In this paper we present a novel algorithm to solve the robot kinematic
structure identification problem. Given a time series of data, typically
obtained processing a set of visual observations, the proposed approach
identifies the ordered sequence of links associated to the kinematic chain, the
joint type interconnecting each couple of consecutive links, and the input
signal influencing the relative motion. Compared to the state of the art, the
proposed algorithm has reduced computational costs, and is able to identify
also the joints' type sequence.

18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
8
The categories of this paper are: hep-ex
37
The categories of this paper are: supr-con
16
The categories of this paper are: stat
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
19
The categories of this paper are: eess