Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/15490
Title: GeoDesic-VPC: Spatial partitioning for multi-robot coverage problem
Authors: Nair V.G.
Guruprasad K.R.
Issue Date: 2020
Citation: International Journal of Robotics and Automation Vol. 35 , 3 , p. 189 - 198
Abstract: In this paper, we address a problem of area coverage using multiple cooperating robots using a “partition and cover" approach, where the area of interest is decomposed into as many cells as the robots, and each robot is assigned the task of covering a cell. While the most partitioning approaches used in the literature in the context of a robotic coverage problem may result in topologically disconnected cells in the presence of obstacles leading to incomplete coverage, we propose to use geodesic distance-based generalization of the Voronoi partition, ensuring that each cell that is allotted for a robot for coverage is a topologically connected region, and hence, achieving a complete coverage. The proposed multi-robot coverage strategy is demonstrated with simulation in MATLAB and V-rep simulator, using two single-robot coverage algorithms reported in the literature, namely boustrophedon decomposition-based coverage and spanning tree-based coverage algorithms. © 2020 SAE International. All rights reserved.
URI: https://doi.org/10.2316/J.2020.206-0303
http://idr.nitk.ac.in/jspui/handle/123456789/15490
Appears in Collections:1. Journal Articles

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