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dc.contributor.authorHikizu, Masatoshi
dc.contributor.authorMikami, Shu
dc.contributor.authorSeki, Hiroaki
dc.date.accessioned2016-11-14T13:48:39Z
dc.date.available2016-11-14T13:48:39Z
dc.date.issued2016-08
dc.identifier.citationIntelligent Control and Automation , 2016, 7, 73- 83en_US
dc.identifier.urihttp://dx.doi.org/10.4236/ica.2016.73008
dc.identifier.urihttp://hdl.handle.net/123456789/1239
dc.description.abstractIn this paper, we propose a motion planning system for bin picking using 3-D point cloud. The situation that the objects are put miscellaneously like the inside in a house is assumed. In the home, the equipment which makes an object stand in line doesn’t exist. Therefore the motion planning system which considered a collision problem becomes important. In this paper, Information on the objects is measured by a laser range finder (LRF). The information is used as 3-D point cloud, and the objects are recognized by model-base. We propose search method of a grasping point for two-fingered robotic hand, and propose search method of a path to approach the grasping point without colliding with other objects.en_US
dc.language.isoenen_US
dc.publisherScientific Research Publishingen_US
dc.subject3-D Point Clouden_US
dc.subjectBin Pickingen_US
dc.subjectICP Algorithmen_US
dc.subjectMotion Planningen_US
dc.titleMotion Planning System for Bin Picking Using 3-D Point Clouden_US
dc.typeArticleen_US


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