Machine learning control of object handovers
US11597078B2 · kind B2 · utility
3Cited by
6References
26Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jul 28, 2020 |
| Grant date | Mar 7, 2023 |
| Priority date | — |
| Expiry date | Apr 22, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A robotic control system directs a robot to take an object from a human grasp by obtaining an image of a human hand holding an object, estimating the pose of the human hand and the object, and determining a grasp pose for the robot that will not interfere with the human hand. In at least one example, a depth camera is used to obtain a point cloud of the human hand holding the object. The point cloud is provided to a deep network that is trained to generate a grasp pose for a robotic gripper that can take the object from the human's hand without pinching or touching the human's fingers.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.