Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105707
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dc.contributorDepartment of Computing-
dc.creatorJiang, Sen_US
dc.creatorCao, Jen_US
dc.creatorLiu, Yen_US
dc.creatorChen, Jen_US
dc.creatorLiu, Xen_US
dc.date.accessioned2024-04-15T07:36:02Z-
dc.date.available2024-04-15T07:36:02Z-
dc.identifier.isbn978-1-5090-2279-3 (Electronic)en_US
dc.identifier.isbn978-1-5090-2280-9 (Print on Demand(PoD))en_US
dc.identifier.urihttp://hdl.handle.net/10397/105707-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication S. Jiang, J. Cao, Y. Liu, J. Chen and X. Liu, "Programming Large-Scale Multi-Robot System with Timing Constraints," 2016 25th International Conference on Computer Communication and Networks (ICCCN), Waikoloa, HI, USA, 2016, pp. 1-9 is available at https://doi.org/10.1109/ICCCN.2016.7568563.en_US
dc.titleProgramming large-scale multi-robot system with timing constraintsen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1109/ICCCN.2016.7568563en_US
dcterms.abstractRecently years, research in multi-robot systems has attracted increasingly attentions. One important research topic is to design programming models that can facilitate the developers to programme large-scale multi-robot systems. However, existing works fail to manage the robots to perform tasks with real-time requirements. To address this issue, we propose a new programming model called RMR (Real-time Multi-Robot). RMR is a logic programming model with real-time support. On the basis of the logic programming paradigm, RMR allows the code for multi-robot system to be written from a global perspective, rather than managing a large collection of independent robots. Moreover, RMR allows developers to set timing constraints on the behaviors of an ensemble of robots, which is not implemented by state of the art. After designing RMR, we further develop a compiler and a runtime system for distributed execution of RMR programs. To evaluate the performance of RMR, we deploy it in a simulator and a test-bed, and then demonstrate RMR based on several applications. Our results indicate that RMR greatly facilitates implementing correct collaborative multi-robot applications.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2016 25th International Conference on Computer Communication and Networks (ICCCN), August 1 - August 4, 2016, Hawaii, USA, 7568563en_US
dcterms.issued2016-
dc.identifier.scopus2-s2.0-84991757105-
dc.relation.conferenceInternational Conference on Computer Communications and Networks [ICCCN]-
dc.identifier.artn7568563en_US
dc.description.validate202402 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCOMP-1455-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextANR/RGC Joint Research Scheme; NSFCen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS9581790-
dc.description.oaCategoryGreen (AAM)en_US
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