Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: From the Lab to the Desert: Fast Prototyping and Learning of Robot
  Locomotion   We present a methodology for fast prototyping of morphologies and controllers
for robot locomotion. Going beyond simulation-based approaches, we argue that
the form and function of a robot, as well as their interplay with real-world
environmental conditions are critical. Hence, fast design and learning cycles
are necessary to adapt robot shape and behavior to their environment. To this
end, we present a combination of laminate robot manufacturing and
sample-efficient reinforcement learning. We leverage this methodology to
conduct an extensive robot learning experiment. Inspired by locomotion in sea
turtles, we design a low-cost crawling robot with variable, interchangeable
fins. Learning is performed using both bio-inspired and original fin designs in
an artificial indoor environment as well as a natural environment in the
Arizona desert. The findings of this study show that static policies developed
in the laboratory do not translate to effective locomotion strategies in
natural environments. In contrast to that, sample-efficient reinforcement
learning can help to rapidly accommodate changes in the environment or the
robot.

4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
20
The categories of this paper are: acc-phys