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Using Electromagnetism-like algorithm and genetic algorithm to optimize time of task scheduling for dual manipulators

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dc.citedby7
dc.contributor.authorAbed I.A.en_US
dc.contributor.authorSahari K.S.M.en_US
dc.contributor.authorKoh S.P.en_US
dc.contributor.authorTiong S.K.en_US
dc.contributor.authorJagadeesh P.en_US
dc.contributor.authorid55568292900en_US
dc.contributor.authorid57218170038en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid11340187300en_US
dc.date.accessioned2023-12-29T07:43:43Z
dc.date.available2023-12-29T07:43:43Z
dc.date.issued2013
dc.description.abstractA method based on Electromagnetism-Like algorithm (EM) and Genetic Algorithm (GA) is proposed to determine the time-optimal task scheduling for dual robot manipulators. GA is utilized to calculate the near-optimal task scheduling for the two robots. On top of that, the EM is recommended as a suitable alternative to obtain multiple solutions at each task points for both manipulators with less error. During the course of the tour, the dual robots move from point to point with less cycle time, while ensuring that no collision occurs between the two manipulators or between the dual manipulators and the static obstacles in the workspace. The movement and the configurations of the manipulators at the task points were visualized using a simulator developed via Visual Basic. Net. The method is verified using two simulators acting as examples for two identical four-link planar robots working in the environment, with square-shaped obstacles cluttered at different locations. � 2013 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6669038
dc.identifier.doi10.1109/R10-HTC.2013.6669038
dc.identifier.epage187
dc.identifier.scopus2-s2.0-84893406143
dc.identifier.spage182
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84893406143&doi=10.1109%2fR10-HTC.2013.6669038&partnerID=40&md5=22160f620f8924f1feedbbaf1fa715f3
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29948
dc.pagecount5
dc.sourceScopus
dc.sourcetitle2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013
dc.subjectDual robots
dc.subjectElectromagnetism-like algorithm
dc.subjectGenetic algorithm
dc.subjectTask scheduling
dc.subjectElectromagnetism
dc.subjectIndustrial robots
dc.subjectManipulators
dc.subjectMultitasking
dc.subjectOptimization
dc.subjectRobot applications
dc.subjectScheduling algorithms
dc.subjectDual manipulators
dc.subjectDual robots
dc.subjectElectromagnetism-like algorithm
dc.subjectMultiple solutions
dc.subjectPoint to point
dc.subjectStatic obstacles
dc.subjectTask-scheduling
dc.subjectVisual Basic .NET
dc.subjectGenetic algorithms
dc.titleUsing Electromagnetism-like algorithm and genetic algorithm to optimize time of task scheduling for dual manipulatorsen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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