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Online Multi-Robot Coverage: Algorithm Comparisons

Elizabeth A. Jensen, Maria Gini

Year
2018
Citations
4

Abstract

We consider the common assumptions made when multi-robot systems are used for exploration and coverage and the metrics used to compare performance. We then take three algorithms -- the Rolling Dispersion Algorithm (RDA), the Multi-Robot Depth-First-Search (MR-DFS) algorithm, and the BoB algorithm -- chosen for their different strengths and assumptions, and compare, using a set of common metrics, their performance in different simulation environments. We present two simple extensions to RDA -- RDA-MS (multi-start) and RDA-EC (extended communication), which preserve RDA's original assumptions, but are able to perform as well as the algorithms that make more demanding assumptions.

Keywords

Computer scienceRobotAlgorithmSet (abstract data type)Simple (philosophy)Online algorithmArtificial intelligenceData mining

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