Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Quad2Plane: An Intermediate Training Procedure for Online Exploration in
  Aerial Robotics via Receding Horizon Control   Data driven robotics relies upon accurate real-world representations to learn
useful policies. Despite our best-efforts, zero-shot sim-to-real transfer is
still an unsolved problem, and we often need to allow our agents to explore
online to learn useful policies for a given task. For many applications of
field robotics online exploration is prohibitively expensive and dangerous,
this is especially true in fixed-wing aerial robotics. To address these
challenges we offer an intermediary solution for learning in field robotics. We
investigate the use of dissimilar platform vehicle for learning and offer a
procedure to mimic the behavior of one vehicle with another. We specifically
consider the problem of training fixed-wing aircraft, an expensive and
dangerous vehicle type, using a multi-rotor host platform. Using a Model
Predictive Control approach, we design a controller capable of mimicking
another vehicles behavior in both simulation and the real-world.

37
The categories of this paper are: supr-con
16
The categories of this paper are: stat
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
4
The categories of this paper are: cond-mat
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol