Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-Robot Gaussian Process Estimation and Coverage: A Deterministic
  Sequencing Algorithm and Regret Analysis   We study the problem of distributed multi-robot coverage over an unknown,
nonuniform sensory field. Modeling the sensory field as a realization of a
Gaussian Process and using Bayesian techniques, we devise a policy which aims
to balance the tradeoff between learning the sensory function and covering the
environment. We propose an adaptive coverage algorithm called Deterministic
Sequencing of Learning and Coverage (DSLC) that schedules learning and coverage
epochs such that its emphasis gradually shifts from exploration to exploitation
while never fully ceasing to learn. Using a novel definition of coverage regret
which characterizes overall coverage performance of a multi-robot team over a
time horizon $T$, we analyze DSLC to provide an upper bound on expected
cumulative coverage regret. Finally, we illustrate the empirical performance of
the algorithm through simulations of the coverage task over an unknown
distribution of wildfires.

7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
8
The categories of this paper are: hep-ex
27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
4
The categories of this paper are: cond-mat