Towards human-level bimanual dexterous manipulation with reinforcement learning

Y Chen, T Wu, S Wang, X Feng… - Advances in …, 2022 - proceedings.neurips.cc
Achieving human-level dexterity is an important open problem in robotics. However, tasks of
dexterous hand manipulation even at the baby level are challenging to solve through …

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning

Y Chen, T Wu, S Wang, X Feng, J Jiang… - arXiv preprint arXiv …, 2022 - arxiv.org
Achieving human-level dexterity is an important open problem in robotics. However, tasks of
dexterous hand manipulation, even at the baby level, are challenging to solve through …

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning

Y Chen, T Wu, S Wang, X Feng, J Jiang, Z Lu… - Thirty-sixth Conference … - openreview.net
Achieving human-level dexterity is an important open problem in robotics. However, tasks of
dexterous hand manipulation even at the baby level are challenging to solve through …

Towards human-level bimanual dexterous manipulation with reinforcement learning

Y Chen, T Wu, S Wang, X Feng, J Jiang… - Proceedings of the 36th …, 2022 - dl.acm.org
Achieving human-level dexterity is an important open problem in robotics. However, tasks of
dexterous hand manipulation, even at the baby level, are challenging to solve through …

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning

Y Chen, T Wu, S Wang, X Feng, J Jiang… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Achieving human-level dexterity is an important open problem in robotics. However, tasks of
dexterous hand manipulation, even at the baby level, are challenging to solve through …