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GM-VPC: An Algorithm for Multi-robot Coverage of Known Spaces Using Generalized Voronoi Partition

Published online by Cambridge University Press:  12 July 2019

Vishnu G. NairOpen the ORCID record for Vishnu G. Nair[Opens in a new window] and
K. R. Guruprasad
Vishnu G. Nair
Affiliation:
Department of Aeronautical and Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104India. E-mail: vishnu.nair@manipal.edu
K. R. Guruprasad*
Affiliation:
Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, 575025, India
*
*Corresponding author. E-mail: kgrprao@gmail.com
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Summary

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In this paper we address the problem of coverage path planning (CPP) for multiple cooperating mobile robots. We use a ‘partition and cover’ approach using Voronoi partition to achieve natural passive cooperation between robots to avoid task duplicity. We combine two generalizations of Voronoi partition, namely geodesic-distance-based Voronoi partition and Manhattan-distance-based Voronoi partition, to address contiguity of partition in the presence of obstacles and to avoid partition-boundary-induced coverage gap. The region is divided into 2D×2D grids, where D is the size of the robot footprint. Individual robots can use any of the single-robot CPP algorithms. We show that with the proposed Geodesic-Manhattan Voronoi-partition-based coverage (GM-VPC), a complete and non-overlapping coverage can be achieved at grid level provided that the underlying single-robot CPP algorithm has similar property.We demonstrated using two representative single-robot coverage strategies, namely Boustrophedon-decomposition-based coverage and Spanning Tree coverage, first based on so-called exact cellular decomposition and second based on approximate cellular decomposition, that the proposed partitioning scheme completely eliminates coverage gaps and coverage overlaps. Simulation experiments using Matlab and V-rep robot simulator and experiments with Fire Bird V mobile robot are carried out to validate the proposed coverage strategy.

Keywords

Coverage path planningMulti-robotic systemUnmanned ground vehiclesVoronoi partitionGeodesic distanceManhattan distance

Information

Type
Articles
Information
Robotica , Volume 38 , Issue 5 , May 2020, pp. 845 - 860
Copyright
Copyright © Cambridge University Press 2019

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