Preview optimization for learning locomotion policies on rough terrain
Legged robots promise a clear advantage in unstructured and challenging terrain, scenarios such as disaster relief, search and rescue, forestry and construction site. Dynamic locomotion on rough terrain has to guarantee stability and maximizing the cross-ability of a local set of candidate footholds...
| Автори: | , , , , , |
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| Формат: | Conference item |
| Опубліковано: |
2016
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