Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Peer-Assisted Robotic Learning: A Data-Driven Collaborative Learning
  Approach for Cloud Robotic Systems   A technological revolution is occurring in the field of robotics with the
data-driven deep learning technology. However, building datasets for each local
robot is laborious. Meanwhile, data islands between local robots make data
unable to be utilized collaboratively. To address this issue, the work presents
Peer-Assisted Robotic Learning (PARL) in robotics, which is inspired by the
peer-assisted learning in cognitive psychology and pedagogy. PARL implements
data collaboration with the framework of cloud robotic systems. Both data and
models are shared by robots to the cloud after semantic computing and training
locally. The cloud converges the data and performs augmentation, integration,
and transferring. Finally, fine tune this larger shared dataset in the cloud to
local robots. Furthermore, we propose the DAT Network (Data Augmentation and
Transferring Network) to implement the data processing in PARL. DAT Network can
realize the augmentation of data from multi-local robots. We conduct
experiments on a simplified self-driving task for robots (cars). DAT Network
has a significant improvement in the augmentation in self-driving scenarios.
Along with this, the self-driving experimental results also demonstrate that
PARL is capable of improving learning effects with data collaboration of local
robots.

6
The categories of this paper are: astro-ph
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio