Introspective visuomotor control: exploiting uncertainty in deep visuomotor control for failure recovery
End-to-end visuomotor control is emerging as a compelling solution for robot manipulation tasks. However, imitation learning-based visuomotor control approaches tend to suffer from a common limitation, lacking the ability to recover from an out-of-distribution state caused by compounding errors. In...
| Main Authors: | , , , , |
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| Formato: | Conference item |
| Idioma: | English |
| Publicado em: |
Institute of Electrical and Electronics Engineers
2021
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