Sergey Levine
30Patents
6h-index
60Co-inventors
68Inventor score
Filing activity: Nov 30, 2010 → Dec 1, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US8860732B2 | System and method for robust physically-plausible character animation | Physics | 39 | Active |
| US11188821B1 | Control policies for collective robot learning | Physics | 27 | Active |
| US9914213B2 | Deep machine learning methods and apparatus for robotic grasping | Emerging Cross-Sectional Technologies | 23 | Active |
| US10207402B2 | Deep machine learning methods and apparatus for robotic grasping | Physics | 11 | Active |
| US10960539B1 | Control policies for robotic agents | Physics | 9 | Active |
| US11400587B2 | Deep reinforcement learning for robotic manipulation | Physics | 8 | Active |
| US11288568B2 | Reinforcement learning using advantage estimates | Physics | 4 | Active |
| US10946515B2 | Deep machine learning methods and apparatus for robotic grasping | Physics | 3 | Active |
| US11173599B2 | Machine learning methods and apparatus related to predicting motion(s) of object(s) in a robot's environment based on image(s) capturing the object(s) and based on parameter(s) for future robot movement in the environment | Physics | 3 | Active |
| US10639792B2 | Deep machine learning methods and apparatus for robotic grasping | Emerging Cross-Sectional Technologies | 2 | Active |
| US11341364B2 | Using simulation and domain adaptation for robotic control | Physics | 2 | Active |
| US11045949B2 | Deep machine learning methods and apparatus for robotic grasping | Emerging Cross-Sectional Technologies | 1 | Active |
| US11897133B2 | Deep reinforcement learning for robotic manipulation | Physics | 1 | Active |
| US11992945B2 | System and methods for training robot policies in the real world | Physics | 1 | Active |
| US11772272B2 | System(s) and method(s) of using imitation learning in training and refining robotic control policies | Physics | 1 | Active |
| US11717959B2 | Machine learning methods and apparatus for semantic robotic grasping | Physics | 1 | Active |
| US11548145B2 | Deep machine learning methods and apparatus for robotic grasping | Physics | 1 | Active |
| US11701773B2 | Viewpoint invariant visual servoing of robot end effector using recurrent neural network | Physics | 1 | Active |
| US11853876B2 | Control policies for robotic agents | Performing Operations; Transporting | 0 | Active |
| US12430551B2 | Reinforcement learning algorithm search | Physics | 0 | Active |
| US10635944B2 | Self-supervised robotic object interaction | Physics | 0 | Active |
| US12226920B2 | System(s) and method(s) of using imitation learning in training and refining robotic control policies | Physics | 0 | Active |
| US12235179B2 | Multi-directional high-resolution optical tactile sensors | Physics | 0 | Active |
| US12083678B2 | Efficient adaption of robot control policy for new task using meta-learning based on meta-imitation learning and meta-reinforcement learning | Physics | 0 | Active |
| US11845183B2 | Deep reinforcement learning for robotic manipulation | General | 0 | Revoked |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.