Learning from operator data for practical autonomy
US10935938B1 · kind B1 · utility
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7Claims
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Key dates
| Filing date | Jun 21, 2017 |
| Grant date | Mar 2, 2021 |
| Priority date | — |
| Expiry date | Jan 2, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Machine learning, evaluating, and reinforced learning within systems or apparatuses enables autonomy to a complexity level beyond automation. Inferences are made using machine learning based on observations, images, or video feed of operator input. The inferences are evaluated or classified and maneuvers are performed based on the evaluating or the classification. The performed maneuvers may be further evaluated for scoring or weighting. The reinforcement learning may perform updates based on the scoring, weighting, and a maximizing reward function such that the machine learning is constantly improving.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.