The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2015
Session ID : 1P2-R06
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1P2-R06 Semantic grasping of everyday objecst
Kazuyuki NAGATA, Yohei SHIRAKI, Daisuke SATO, Yoshikazu KANAMIYA, Kensuke HARADA, Natsuki YAMANOBE, Akira NAKAMURA
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Keywords: Semantic grasp, Knowledge model, E veryday objects, Grasp Planning
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Abstract
This paper presents semantic grasping of everyday objects using knowledge model. The knowledge model describes the structure of everyday objects and information on their manipulation. The grasp areas and approach directions are extracted from the knowledge model and mapped on to the 3D point cloud data of the target when the intended purpose are given. Fine grasps suitable for the intended task are generated by performing a grasp planning.
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© 2015 The Japan Society of Mechanical Engineers
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