Event-driven visual-tactile sensing and learning for robots
US12257727B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 15, 2021 |
| Grant date | Mar 25, 2025 |
| Priority date | — |
| Expiry date | Feb 9, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/40577
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A classifying sensing system, a classifying method performed using a sensing system, a tactile sensor, and a method of fabricating a tactile sensor. The classifying sensing system comprises a first spiking neural network, SNN, encoder configured for encoding an event-based output of a vision sensor into individual vision modality spiking representations with a first output size; a second SNN encoder configured for encoding an event-based output of a tactile sensor into individual tactile modality spiking representations with a second output size; a combination layer configured for merging the vision modality spiking representations and the tactile modality spiking representations; and a task SNN configured to receive the merged vision modality spiking representations and tactile modality spiking representations and output vision-tactile modality spiking representations with a third output size for classification.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.