Robot collision detection using cascading variational autoencoder
US11285604B2 · kind B2 · utility
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Key dates
| Filing date | Dec 23, 2019 |
| Grant date | Mar 29, 2022 |
| Priority date | — |
| Expiry date | Aug 23, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Cascading variational autoencoder (“VAE”) models can be used to detect robot collisions while a robot is performing a task. For a current state of the robot, various implementations include a VAE used to generate a latent space of the current state, and a predictor network used to generate a predicted latent space for the current state. A collision can be determined based on a difference between the latent space for the current state and the predicted latent space for the current state.
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