Eric Jang
9Patents
2h-index
22Co-inventors
43Inventor score
Filing activity: Mar 2, 2017 → Aug 11, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US9914213B2 | Deep machine learning methods and apparatus for robotic grasping | Emerging Cross-Sectional Technologies | 23 | Active |
| US10639792B2 | Deep machine learning methods and apparatus for robotic grasping | Emerging Cross-Sectional Technologies | 2 | Active |
| US11045949B2 | Deep machine learning methods and apparatus for robotic grasping | Emerging Cross-Sectional Technologies | 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 |
| US10635944B2 | Self-supervised robotic object interaction | 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 |
| US12226920B2 | System(s) and method(s) of using imitation learning in training and refining robotic control policies | Physics | 0 | Active |
| US12333787B2 | Mitigating reality gap through feature-level domain adaptation in training of vision-based robot action model | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.