Learning a natural-language to LTL executable semantic parser for grounded robotics
Children acquire their native language with apparent ease by observing how language is used in context and attempting to use it themselves. They do so without laborious annotations, negative examples, or even direct corrections. We take a step toward robots that can do the same by training a grounde...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Center for Brains, Minds and Machines (CBMM), Conference on Robot Learning (CoRL)
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/1721.1/141340 |