Preview optimization for learning locomotion policies on rough terrain

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...

書目詳細資料
Main Authors:	Mastalli, C, Havoutis, I, Radulescu, A, Focchi, M, Caldwell, D, Semini, C
格式:	Conference item
出版:	2016

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