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Optimal Configurations in Coverage Control with Polynomial Costs

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abstract

We revisit the static coverage control problem for placement of vehicles with simple motion on the real line, under the assumption that the cost is a polynomial function of the locations of the vehicles. The main contribution of this paper is to demonstrate the use of tools from numerical algebraic geometry, in particular, a numerical polynomial homotopy continuation method that guarantees to find all solutions of polynomial equations, in order to characterize the \emph{global minima} for the coverage control problem. The results are then compared against a classic distributed approach involving the use of Lloyd descent, which is known to converge only to a local minimum under certain technical conditions.

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eess.SY 1

years

2019 1

verdicts

CONDITIONAL 1

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  • Distributed Adaptive Coverage Control of Differential Drive Robotic Sensors eess.SY · 2019-08-03 · conditional · none · ref 2 · internal anchor

    The authors show how to pose coverage deployment as L2 matching of a target density by an aggregate sensing function, derive adaptive and directed-consensus control laws, and validate them on physical differential-drive robots.