Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Gaze-based dual resolution deep imitation learning for high-precision
  dexterous robot manipulation   A high-precision manipulation task, such as needle threading, is challenging.
Physiological studies have proposed connecting low-resolution peripheral vision
and fast movement to transport the hand into the vicinity of an object, and
using high-resolution foveated vision to achieve the accurate homing of the
hand to the object. The results of this study demonstrate that a deep imitation
learning based method, inspired by the gaze-based dual resolution visuomotor
control system in humans, can solve the needle threading task. First, we
recorded the gaze movements of a human operator who was teleoperating a robot.
Then, we used only a high-resolution image around the gaze to precisely control
the thread position when it was close to the target. We used a low-resolution
peripheral image to reach the vicinity of the target. The experimental results
obtained in this study demonstrate that the proposed method enables precise
manipulation tasks using a general-purpose robot manipulator and improves
computational efficiency.

23
The categories of this paper are: solv-int
4
The categories of this paper are: cond-mat
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th