Please use this identifier to cite or link to this item:
https://idr.l1.nitk.ac.in/jspui/handle/123456789/8537
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nair, V.G. | |
dc.contributor.author | Guruprasad, K.R. | |
dc.date.accessioned | 2020-03-30T10:22:24Z | - |
dc.date.available | 2020-03-30T10:22:24Z | - |
dc.date.issued | 2020 | |
dc.identifier.citation | Lecture Notes in Electrical Engineering, 2020, Vol.581, , pp.59-66 | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/8537 | - |
dc.description.abstract | In this paper we propose Geodesic-VPC, a �partition� and �cover� strategy for a multi-robot system using Voronoi partitioning based on geodesic distance metric in the place of the usual Euclidean distance. Each robot is responsible for covering the corresponding geodesic-Voronoi cell using a single-robot coverage strategy. The proposed partitioning scheme ensures that Voronoi cells are contiguous even in the presence of obstacles. We demonstrate that if the single-robot coverage strategy is capable of providing a complete and non-repetitive coverage, then the proposed Geodesic-VPC strategy provides a complete and non-repetitive coverage. We use spanning tree-based coverage algorithm as the underlying single-robot coverage strategy for the purpose of demonstration, though any existing single-robot coverage algorithm can be used. � 2020, Springer Nature Singapore Pte Ltd. | en_US |
dc.title | Multi-robot coverage using Voronoi partitioning based on geodesic distance | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.