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dc.contributor.authorISWANTO, ISWANTO
dc.contributor.authorOYAS, WAHYUNGGORO
dc.contributor.authorADHA, IMAM CAHYADI
dc.date.accessioned2016-09-30T16:25:19Z
dc.date.available2016-09-30T16:25:19Z
dc.date.issued2015-11-12
dc.identifier.citationScopusen_US
dc.identifier.urihttp://repository.umy.ac.id/handle/123456789/4305
dc.description.abstractEnvironmental modeling of a robot which is needed for robot navigation and path planning is in the form of planar or 2D modeling. Several previous researchers have used laser sensor to model 2D obstacles because it has data accuracy for navigation. It is in a planar shape and implemented in quadrotor thus the obstacle modeling formed is in 2D. The problem in a 2D environment is that the path planning and navigation of the robot requires a considerable time because the robot stops at loca minima and attempts to find other paths in the dimension. The problem can be solved by using combined data taken from the laser sensor. The combination of the data uses several algorithms such as graph theory and vector field histogram algorithms. Therefore, this paper presents the combination of the algorithms to model a 3D environment. By using this model, the quadrotor is able to avoid loca minima.en_US
dc.description.sponsorshipUniversitas Gadjah Mada Universitas Muhammadiyah Yogyakartaen_US
dc.language.isoenen_US
dc.publisherAIP Conference Proceedingsen_US
dc.subjectQuadrotoren_US
dc.subjectLaser sensoren_US
dc.subjectGraph theoryen_US
dc.subjectVector fielden_US
dc.subject3D modelen_US
dc.title3D OBJECT MODELING USING DATA FUSION FROM LASER SENSOR ON QUADROTORen_US
dc.typeArticleen_US


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    Berisi poster ilmiah dosen yang dimuat dalam acara konferensi atau seminar lokal, nasional maupun internasional diluar UMY.

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