2D-VPC: An Efficient Coverage Algorithm for Multiple Autonomous Vehicles

Vishnu G. Nair, K. R. Guruprasad

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


In this paper, we address a problem of multi-robotic coverage, where an area of interest is covered by multiple sensors, each mounted on an autonomous vehicle such as an aerial or a ground mobile robot. The area of interest is first decomposed into grids of equal size and then partitioned into Voronoi cells. Each robot/sensor is assigned the task of covering the corresponding Voronoi cell. We propose an optimal gridding size and partitioning methodology that eliminate the coverage inefficiencies induced by the partitioning process. We carried out experiments using multiple quadcopters and mobile robots to demonstrate and validate the proposed multi-sensor coverage strategy.

Original languageEnglish
Pages (from-to)2891-2901
Number of pages11
JournalInternational Journal of Control, Automation and Systems
Issue number8
Publication statusPublished - 08-2021

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications


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