Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Distributed Path Planning for Executing Cooperative Tasks with Time
  Windows   We investigate the distributed planning of robot trajectories for optimal
execution of cooperative tasks with time windows. In this setting, each task
has a value and is completed if sufficiently many robots are simultaneously
present at the necessary location within the specified time window. Tasks keep
arriving periodically over cycles. The task specifications (required number of
robots, location, time window, and value) are unknown a priori and the robots
try to maximize the value of completed tasks by planning their own trajectories
for the upcoming cycle based on their past observations in a distributed
manner. Considering the recharging and maintenance needs, robots are required
to start and end each cycle at their assigned stations located in the
environment. We map this problem to a game theoretic formulation and maximize
the collective performance through distributed learning. Some simulation
results are also provided to demonstrate the performance of the proposed
approach.

17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
15
The categories of this paper are: nucl-ex
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
28
The categories of this paper are: alg-geom
30
The categories of this paper are: q-alg
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an