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公开(公告)号：US20170252924A1
公开(公告)日：2017-09-07
申请号：US15448013
申请日：2017-03-02
Applicant: Google Inc.
Inventor： Sudheendra Vijayanarasimhan , Eric Jang , Peter Pastor Sampedro , Sergey Levine
CPC classification number: B25J9/163 , B25J9/1612 , B25J9/1697 , G05B13/027 , G05B19/18 , G06N3/008 , G06N3/0454 , G06N3/08 , G06N3/084 , Y10S901/36
Abstract: Deep machine learning methods and apparatus related to manipulation of an object by an end effector of a robot. Some implementations relate to training a semantic grasping model to predict a measure that indicates whether motion data for an end effector of a robot will result in a successful grasp of an object; and to predict an additional measure that indicates whether the object has desired semantic feature(s). Some implementations are directed to utilization of the trained semantic grasping model to servo a grasping end effector of a robot to achieve a successful grasp of an object having desired semantic feature(s).
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公开(公告)号：US09914213B2
公开(公告)日：2018-03-13
申请号：US15448013
申请日：2017-03-02
Applicant: Google Inc.
Inventor： Sudheendra Vijayanarasimhan , Eric Jang , Peter Pastor Sampedro , Sergey Levine
CPC classification number: B25J9/163 , B25J9/1612 , B25J9/1697 , G05B13/027 , G05B19/18 , G06N3/008 , G06N3/0454 , G06N3/08 , G06N3/084 , Y10S901/36
Abstract: Deep machine learning methods and apparatus related to manipulation of an object by an end effector of a robot. Some implementations relate to training a semantic grasping model to predict a measure that indicates whether motion data for an end effector of a robot will result in a successful grasp of an object; and to predict an additional measure that indicates whether the object has desired semantic feature(s). Some implementations are directed to utilization of the trained semantic grasping model to servo a grasping end effector of a robot to achieve a successful grasp of an object having desired semantic feature(s).
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