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dc.contributor.authorMansouri , Masoumeh
dc.contributor.authorAndreasson , Henrik
dc.contributor.authorPecora , Federico
dc.date.accessioned2017-02-09T11:26:51Z
dc.date.available2017-02-09T11:26:51Z
dc.date.issued2016
dc.identifier.citationActa Polytechnica. 2016, vol. 56, no. 1, p. 47-56.
dc.identifier.issn1210-2709 (print)
dc.identifier.issn1805-2363 (online)
dc.identifier.urihttp://hdl.handle.net/10467/67245
dc.description.abstractFleet automation often involves solving several strongly correlated sub-problems, including task allocation, motion planning, and coordination. Solutions need to account for very specific, domaindependent constraints. In addition, several aspects of the overall fleet management problem become known only online. We propose a method for solving the fleet-management problem grounded on a heuristically-guided search in the space of mutually feasible solutions to sub-problems. We focus on a mining application which requires online contingency handling and accommodating many domainspecific constraints. As contingencies occur, efficient reasoning is performed to adjust the plan online for the entire fleet.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherČeské vysoké učení technické v Prazecs
dc.publisherCzech Technical University in Pragueen
dc.relation.ispartofseriesActa Polytechnica
dc.relation.urihttps://ojs.cvut.cz/ojs/index.php/ap/article/view/3490
dc.rightsCreative Commons Attribution 4.0 International Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectrobot planningen
dc.subjectmulti-robot coordinationen
dc.subjecton-line reasoningen
dc.titleHYBRID REASONING FOR MULTIROBOT DRILL PLANNING IN OPENPIT MINES
dc.typearticleen
dc.date.updated2017-02-09T11:26:51Z
dc.identifier.doihttps://doi.org/10.14311/APP.2016.56.0047
dc.rights.accessopenAccess
dc.type.statusPeer-reviewed
dc.type.versionpublishedVersion


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Creative Commons Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International License