- Patent Title: Deep machine learning methods and apparatus for robotic grasping
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Application No.: US15448013Application Date: 2017-03-02
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Publication No.: US09914213B2Publication Date: 2018-03-13
- Inventor: Sudheendra Vijayanarasimhan , Eric Jang , Peter Pastor Sampedro , Sergey Levine
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: Middleton Reutlinger
- Main IPC: G05B19/04
- IPC: G05B19/04 ; G05B19/18 ; B25J9/16 ; G06N3/08 ; G05B13/02 ; G06N3/04

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).
Public/Granted literature
- US20170252924A1 DEEP MACHINE LEARNING METHODS AND APPARATUS FOR ROBOTIC GRASPING Public/Granted day:2017-09-07
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