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In-hand object reorientation has been a challenging problem in robotics due to high dimensional actuation space and the frequent change in contact state between the fingers and the objects.
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A. Rajeswaran, V. Kumar, A. Gupta, G. Vezzani, J. Schulman, E. Todorov, and S. Levine · 2017
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H. Fan, H. Su, and L. J. Guibas · 2017
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B. Calli and A. M. Dollar · 2017
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Investigating deep reinforcement learning for grasping objects with an anthropomorphic hand
M. Mudigonda, P. Agrawal, M. Deweese, and J. Malik · 2018
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I. Radosavovic, X. Wang, L. Pinto, and J. Malik · 2020
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D. Morrison, P. Corke, and J. Leitner · 2020
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Learning dexterous manipulation from suboptimal experts
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Generalization in dexterous manipulation via geometry-aware multi-task learning
W. Huang, I. Mordatch, P. Abbeel, and D. Pathak · 2021
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