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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/8270
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dc.contributor.authorShekhawat, Virendra Singh-
dc.contributor.authorGautam, Avinash-
dc.contributor.authorMohan, Sudeept-
dc.date.accessioned2023-01-03T11:13:02Z-
dc.date.available2023-01-03T11:13:02Z-
dc.date.issued2018-
dc.identifier.urihttps://ieeexplore.ieee.org/document/8665196-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8270-
dc.description.abstractThis paper presents a empirical evaluation of some approaches suggested in the literature for solving the online terrain coverage task. Our first contribution is that, we have implemented in simulation four state-of-the-art approaches. The first two approaches are based on structured trajectories and use backtracking mechanism for task allocation. The other two are based on the behavior of ants. Also, we have modified one of the state-of-the-art approaches and improved its performance in terms of computation time. The second contribution is that, we have developed a practical test-bed comprising of multiple differential drive robots that are able to coordinate with each other in a distributed fashion by wirelessly communicating with their team-mates. We have implemented the representative set of approaches on our test-bed. The same test-bed can be leveraged for validating multi-robot coordination approaches for solving other tasks like patrolling, foraging, etc.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectComputer Scienceen_US
dc.subjectMulti-robot systemsen_US
dc.subjectOnline terrain coverageen_US
dc.subjectMotion planningen_US
dc.titleExperimental Evaluation of Multi-Robot Online Terrain Coverage Approachen_US
dc.typeArticleen_US
Appears in Collections:Department of Computer Science and Information Systems

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