Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: End-To-End Real-Time Visual Perception Framework for Construction
  Automation   In this work, we present a robotic solution to automate the task of wall
construction. To that end, we present an end-to-end visual perception framework
that can quickly detect and localize bricks in a clutter. Further, we present a
light computational method of brick pose estimation that incorporates the above
information. The proposed detection network predicts a rotated box compared to
YOLO and SSD, thereby maximizing the object's region in the predicted box
regions. In addition, precision P, recall R, and mean-average-precision (mAP)
scores are reported to evaluate the proposed framework. We observed that for
our task, the proposed scheme outperforms the upright bounding box detectors.
Further, we deploy the proposed visual perception framework on a robotic system
endowed with a UR5 robot manipulator and demonstrate that the system can
successfully replicate a simplified version of the wall-building task in an
autonomous mode.

19
The categories of this paper are: eess
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
26
The categories of this paper are: bayes-an
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph