Next steps: learning a disentangled gait representation for versatile quadruped locomotion
Quadruped locomotion is rapidly maturing to a degree where robots now routinely traverse a variety of unstructured terrains. However, while gaits can be varied typically by selecting from a range of pre-computed styles, current planners are unable to vary key gait parameters continuously while the r...
| Main Authors: | , , , , , , , |
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| 格式: | Conference item |
| 語言: | English |
| 出版: |
IEEE
2022
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