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Experimental Evaluation of Multi-Robot Online Terrain Coverage Approach

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dc.contributor.author Shekhawat, Virendra Singh
dc.contributor.author Gautam, Avinash
dc.contributor.author Mohan, Sudeept
dc.date.accessioned 2023-01-03T11:13:02Z
dc.date.available 2023-01-03T11:13:02Z
dc.date.issued 2018
dc.identifier.uri https://ieeexplore.ieee.org/document/8665196
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8270
dc.description.abstract This 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.iso en en_US
dc.publisher IEEE en_US
dc.subject Computer Science en_US
dc.subject Multi-robot systems en_US
dc.subject Online terrain coverage en_US
dc.subject Motion planning en_US
dc.title Experimental Evaluation of Multi-Robot Online Terrain Coverage Approach en_US
dc.type Article en_US


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