Generating and utilizing spatial affordances for an object in robotics applications
US10354139B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 3, 2017 |
| Grant date | Jul 16, 2019 |
| Priority date | — |
| Expiry date | Oct 3, 2037 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S901/47
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, apparatus, systems, and computer-readable media are provided for generating spatial affordances for an object, in an environment of a robot, and utilizing the generated spatial affordances in one or more robotics applications directed to the object. Various implementations relate to applying vision data as input to a trained machine learning model, processing the vision data using the trained machine learning model to generate output defining one or more spatial affordances for an object captured by the vision data, and controlling one or more actuators of a robot based on the generated output. Various implementations additionally or alternatively relate to training such a machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.