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Humans excel in complex long-horizon soft body manipulation tasks via flexible tool use: bread baking requires a knife to slice the dough and a rolling pin to flatten it.
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The cross-entropy method: a unified approach to combinatorial optimization, Monte-Carlo simulation, and machine learning , volume 133
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The graph neural network model
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Primate foundations of human intelligence: a view of tool use in nonhuman primates and fossil hominids
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Automatic 3-d manipulation of soft objects by robotic arms with an adaptive deformation model
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Learning complex sequential tasks from demonstration: A pizza dough rolling case study
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Interaction networks for learning about objects, relations and physics
P. Battaglia, R. Pascanu, M. Lai, D. Jimenez Rezende, et al · 2016
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A compositional object-based approach to learning physical dynamics
M. B. Chang, T. Ullman, A. Torralba, and J. B. Tenenbaum · 2016
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A brief review of affordance in robotic manipulation research
N. Yamanobe, W. Wan, I. G. Ramirez-Alpizar, D. Petit, T. Tsuji, S. Akizuki, M. Hashimoto, K. Nagata, and K. Harada · 2017
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A point set generation network for 3d object reconstruction from a single image
H. Fan, H. Su, and L. J. Guibas · 2017
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3d bounding box estimation using deep learning and geometry
A. Mousavian, D. Anguelov, J. Flynn, and J. Kosecka · 2017
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Modeling, learning, perception, and control methods for deformable object manipulation
H. Yin, A. Varava, and D. Kragic · 2021
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Modeling long-horizon tasks as sequential interaction landscapes
S. Pirk, K. Hausman, A. Toshev, and M. Khansari · 2021
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A long horizon planning framework for manipulating rigid pointcloud objects
A. Simeonov, Y. Du, B. Kim, F. Hogan, J. Tenenbaum, P. Agrawal, and A. Rodriguez · 2021
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Deformable elasto-plastic object shaping using an elastic hand and model-based reinforcement learning
C. Matl and R. Bajcsy · 2021
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Diffskill: Skill abstraction from differentiable physics for deformable object manipulations with tools
X. Lin, Z. Huang, Y. Li, J. B. Tenenbaum, D. Held, and C. Gan · 2021
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J. Matas, S. James, and A. J. Davison · 2018
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Learning particle dynamics for manipulating rigid bodies, deformable objects, and fluids
Y. Li, J. Wu, R. Tedrake, J. B. Tenenbaum, and A. Torralba · 2018
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Multi-modal sensing and robotic manipulation of non-rigid objects: A survey
F. Nadon, A. J. Valencia, and P. Payeur · 2018
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Graph networks as learnable physics engines for inference and control
A. Sanchez-Gonzalez, N. Heess, J. T. Springenberg, J. Merel, M. Riedmiller, R. Hadsell, and P. Battaglia · 2018
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3d-rcnn: Instance-level 3d object reconstruction via render-and-compare
A. Kundu, Y. Li, and J. M. Rehg · 2018
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Trends and challenges in robot manipulation
A. Billard and D. Kragic · 2019
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Improvisation through physical understanding: Using novel objects as tools with visual foresight
A. Xie, F. Ebert, S. Levine, and C. Finn · 2019
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S. Li, Z. Huang, T. Du, H. Su, J. B. Tenenbaum, and C. Gan · 2021
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Planning with learned object importance in large problem instances using graph neural networks
T. Silver, R. Chitnis, A. Curtis, J. B. Tenenbaum, T. Lozano-Pérez, and L. P. Kaelbling · 2021
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Challenges and outlook in robotic manipulation of deformable objects
J. Zhu, A. Cherubini, C. Dune, D. Navarro-Alarcon, F. Alambeigi, D. Berenson, F. Ficuciello, K. Harada, J. Kober, X. Li, et al · 2022
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Long-horizon multi-robot rearrangement planning for construction assembly
V. N. Hartmann, A. Orthey, D. Driess, O. S. Oguz, and M. Toussaint · 2022
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Toolflownet: Robotic manipulation with tools via predicting tool flow from point clouds
D. Seita, Y. Wang, S. J. Shetty, E. Y. Li, Z. Erickson, and D. Held · 2022
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RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks
H. Shi, H. Xu, Z. Huang, Y. Li, and J. Wu · 2022
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Planning with spatial-temporal abstraction from point clouds for deformable object manipulation
X. Lin, C. Qi, Y. Zhang, Z. Huang, K. Fragkiadaki, Y. Li, C. Gan, and D. Held · 2022
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Iterative Residual Policy for Goal-Conditioned Dynamic Manipulation of Deformable Objects
C. Chi, B. Burchfiel, E. Cousineau, S. Feng, and S. Song · 2022
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Flingbot: The unreasonable effectiveness of dynamic manipulation for cloth unfolding
H. Ha and S. Song · 2022
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Learning sensorimotor primitives of sequential manipulation tasks from visual demonstrations
J. Liang, B. Wen, K. Bekris, and A. Boularias · 2022
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Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation
Z. Huang, X. Lin, and D. Held · 2022
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Learning multi-object dynamics with compositional neural radiance fields
D. Driess, Z. Huang, Y. Li, R. Tedrake, and M. Toussaint · 2023
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