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dc.contributor.authorChiu, Yi-Fuen_US
dc.contributor.authorSong, Kai-Taien_US
dc.date.accessioned2017-04-21T06:49:29Z-
dc.date.available2017-04-21T06:49:29Z-
dc.date.issued2015en_US
dc.identifier.isbn978-4-9902880-9-9en_US
dc.identifier.urihttp://hdl.handle.net/11536/136219-
dc.description.abstractIn this paper, a motion planner is designed and implemented for of a mobile manipulator to travel to a spot for grasping of an object. In this work, the probability of successful grasping inside the workspace of the robot arm is used for grasping planning. A vision SLAM system is combined with reachability calculation to figure out the grasping position. Using a laboratory dual-arm robot, we conducted experiments in different conditions to verify the effectiveness of the developed system.en_US
dc.language.isoen_USen_US
dc.subjectMobile manipulationen_US
dc.subjectvisual servoingen_US
dc.subjectvisual navigationen_US
dc.subjectrobot graspingen_US
dc.titleVision-Based Grasp Planning and Experiments of a Mobile Manipulatoren_US
dc.typeProceedings Paperen_US
dc.identifier.journalPROCEEDINGS OF INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS (ICAROB2015)en_US
dc.citation.spage145en_US
dc.citation.epage148en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000383847900034en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper


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