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Robotic manipulation can be formulated as inducing a sequence of spatial displacements: where the space being moved can encompass an object, part of an object, or end effector.
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Multi-view self-supervised deep learning for 6d pose estimation in the amazon picking challenge
A. Zeng, K.-T. Yu, S. Song, D. Suo, E. Walker, A. Rodriguez, and J. Xiao · 2017
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Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation
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Deep dynamics models for learning dexterous manipulation
A. Nagabandi, K. Konolige, S. Levine, and V. Kumar · 2020
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Keypose: Multi-view 3d labeling and keypoint estimation for transparent objects
X. Liu, R. Jonschkowski, A. Angelova, and K. Konolige · 2020
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Learning rope manipulation policies using dense object descriptors trained on synthetic depth data
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Dense object nets: Learning dense visual object descriptors by and for robotic manipulation
P. R. Florence, L. Manuelli, and R. Tedrake · 2018
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On the generalization of equivariance and convolution in neural networks to the action of compact groups
R. Kondor and S. Trivedi · 2018
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Pick and place without geometric object models
M. Gualtieri, A. ten Pas, and R. Platt · 2018
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Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching
A. Zeng, S. Song, K.-T. Yu, E. Donlon, F. R. Hogan, M. Bauza, D. Ma, O. Taylor, M. Liu, E. Romo, et al · 2018
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Closing the loop for robotic grasping: A real-time, generative grasp synthesis approach
D. Morrison, P. Corke, and J. Leitner · 2018
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Learning synergies between pushing and grasping with self-supervised deep reinforcement learning
A. Zeng, S. Song, S. Welker, J. Lee, A. Rodriguez, and T. Funkhouser · 2018
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Unity game engine
Unity Technologies · 2018
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H. Suh and R. Tedrake · 2020
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Self-supervised 6d object pose estimation for robot manipulation
X. Deng, Y. Xiang, A. Mousavian, C. Eppner, T. Bretl, and D. Fox · 2020
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Form2fit: Learning shape priors for generalizable assembly from disassembly
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“good robot!”: Efficient reinforcement learning for multi-step visual tasks with sim to real transfer
A. Hundt, B. Killeen, N. Greene, H. Wu, H. Kwon, C. Paxton, and G. D. Hager · 2020
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Self-supervised learning for precise pick-and-place without object model
L. Berscheid, P. Meißner, and T. Kröger · 2020
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Learning to manipulate deformable objects without demonstrations
Y. Wu, W. Yan, T. Kurutach, L. Pinto, and P. Abbeel · 2020
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Self-supervised goal-conditioned pick and place
C. Devin, P. Rowghanian, C. Vigorito, W. Richards, and K. Rohanimanesh · 2020
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Action image representation: Learning scalable deep grasping policies with zero real world data
M. Khansari, D. Kappler, J. Luo, J. Bingham, and M. Kalakrishnan · 2020
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Grasping in the wild: Learning 6dof closed-loop grasping from low-cost demonstrations
S. Song, A. Zeng, J. Lee, and T. Funkhouser · 2020
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D. Seita, P. Florence, J. Tompson, E. Coumans, V. Sindhwani, K. Goldberg, and A. Zeng · 2020
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B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng · 2020
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Implicit neural representations with periodic activation functions
V. Sitzmann, J. N. Martel, A. W. Bergman, D. B. Lindell, and G. Wetzstein · 2020
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