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...
| Những tác giả chính: | , , , , , , , |
|---|---|
| Định dạng: | Conference item |
| Ngôn ngữ: | English |
| Được phát hành: |
IEEE
2022
|