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Using visual model-based learning for deformable object manipulation is challenging due to difficulties in learning plannable visual representations along with complex dynamic models.
Robot grasp synthesis algorithms: A survey
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Piotr Pierański, Sylwester Przybył, and Andrzej Stasiak · 2001
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Dominik Henrich and Heinz Wörn · 2012
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Emanuel Todorov, Tom Erez, and Yuval Tassa · 2012
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Dmitry Berenson · 2013
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Three-dimensional deformable object manipulation using fast online gaussian process regression
Zhe Hu, Peigen Sun, and Jia Pan · 2018
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John Schulman, Sergey Levine, Pieter Abbeel, Michael Jordan, and Philipp Moritz · 2015
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Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel · 2016
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Benchmarking deep reinforcement learning for continuous control
Yan Duan, Xi Chen, Rein Houthooft, John Schulman, and Pieter Abbeel · 2016
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Vikash Kumar, Emanuel Todorov, and Sergey Levine · 2016
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Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
Sergey Levine, Peter Pastor, Alex Krizhevsky, and Deirdre Quillen · 2016
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Dex-net 1.0: A cloud-based network of 3d objects for robust grasp planning using a multi-armed bandit model with correlated rewards
J. Mahler, F. T. Pokorny, B. Hou, M. Roderick, M. Laskey, M. Aubry, K. Kohlhoff, T. Kröger, J. Kuffner, and K. Goldberg · 2016
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Learning-based feedback controller for deformable object manipulation
Biao Jia, Zhe Hu, Zherong Pan, Dinesh Manocha, and Jia Pan · 2018
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Learning plannable representations with causal infogan
Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart J Russell, and Pieter Abbeel · 2018
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Sim-to-real reinforcement learning for deformable object manipulation
Jan Matas, Stephen James, and Andrew J Davison · 2018
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Neural network dynamics for model-based deep reinforcement learning with model-free fine-tuning
Anusha Nagabandi, Gregory Kahn, Ronald S Fearing, and Sergey Levine · 2018
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Representation learning with contrastive predictive coding
Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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Deep transfer learning of pick points on fabric for robot bed-making
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Deepmind control suite
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Model-based reinforcement learning for atari
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Deep imitation learning of sequential fabric smoothing policies
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Contrastive multiview coding
Yonglong Tian, Dilip Krishnan, and Phillip Isola · 2019
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Learning robotic manipulation through visual planning and acting
Angelina Wang, Thanard Kurutach, Kara Liu, Pieter Abbeel, and Aviv Tamar · 2019
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Learning to manipulate deformable objects without demonstrations
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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