Deep machine learning methods and apparatus for robotic grasping
US9914213B2 · kind B2 · utility
23Cited by
3References
18Claims
0Family size
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Key dates
| Filing date | Mar 2, 2017 |
| Grant date | Mar 13, 2018 |
| Priority date | — |
| Expiry date | Mar 2, 2037 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S901/36
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.