Transformation of joint space coordinates using machine learning
US12017352B2 · kind B2 · utility
1Cited by
3References
32Claims
0Family size
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Key dates
| Filing date | Feb 16, 2021 |
| Grant date | Jun 25, 2024 |
| Priority date | — |
| Expiry date | Aug 14, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/39064
- WIPO fieldHandling
- WIPO sectorMechanical engineering
Abstract
Apparatuses, systems, and techniques to map coordinates in task space to a set of joint angles of an articulated robot. In at least one embodiment, a neural network is trained to map task-space coordinates to joint space coordinates of a robot by simulating a plurality of robots at various joint angles, and determining the position of their respective manipulators in task space.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.