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pro vyhledávání: '"Arthur Allshire"'
Autor:
Arthur Allshire, Mayank MittaI, Varun Lodaya, Viktor Makoviychuk, Denys Makoviichuk, Felix Widmaier, Manuel Wuthrich, Stefan Bauer, Ankur Handa, Animesh Garg
We present a system for learning a challenging dexterous manipulation task involving moving a cube to an arbitrary 6-DoF pose with only 3-fingers trained with NVIDIA's IsaacGym simulator. We show empirical benefits, both in simulation and sim-to-real
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b91385300a54c0621925715efe1aba37
http://arxiv.org/abs/2108.09779
http://arxiv.org/abs/2108.09779
Autor:
Charles P. Lin, Arthur Allshire, Shawn Manuel, Animesh Garg, Silvio Savarese, Roberto Martín-Martín
Publikováno v:
ICRA
The process of learning a manipulation task depends strongly on the action space used for exploration: posed in the incorrect action space, solving a task with reinforcement learning can be drastically inefficient. Additionally, similar tasks or inst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fbf55c149d8e0fadef40e2e0e44895b