How to add new knowledge to already trained deep learning models applied to semantic localization
The capacity of a robot to automatically adapt to new environments is crucial, especially in social robotics. Often, when these robots are deployed in home or office environments, they tend to fail because they lack the ability to adapt to new and continuously changing scenarios. In order to accompl...
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| Kolejni autorzy: | , , |
| Format: | article |
| Język: | angielski |
| Wydane: |
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://link.springer.com/article/10.1007/s10489-019-01517-1 https://ridda2.utp.ac.pa/handle/123456789/9445 |
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