Towards a causal probabilistic framework for prediction, action-selection & explanations for robot block-stacking tasks
Uncertainties in the real world mean that is impossible for system designers to anticipate and explicitly design for all scenarios that a robot might encounter. Thus, robots designed like this are fragile and fail outside of highly-controlled environments. Causal models provide a principled framewor...
| Автори: | , , |
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| Формат: | Conference item |
| Мова: | English |
| Опубліковано: |
2023
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