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This paper tackles the challenging robotic task of generalizable paper cutting using scissors.
Fracture resistance of paper
R. Seth and D. Page · 1974
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Alvinn: An autonomous land vehicle in a neural network
D. A. Pomerleau · 1988
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Strength and fracture of paper
K. Niskanen · 1993
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Discrete shells
E. Grinspun, A. N. Hirani, M. Desbrun, and P. Schröder · 2003
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Kirigami Home Decorations
F. Temko · 2012
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Adaptive tearing and cracking of thin sheets
T. Pfaff, R. Narain, J. M. De Joya, and J. F. O’Brien · 2014
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Atomistic simulations of tension-induced large deformation and stretchability in graphene kirigami
Z. Qi, D. K. Campbell, and H. S. Park · 2014
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Robotic origami folding with dynamic motion primitives
A. Namiki and S. Yokosawa · 2015
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Kirigami robot: Making paper robot using desktop cutting plotter and inkjet printer
H. Shigemune, S. Maeda, Y. Hara, U. Koike, and S. Hashimoto · 2015
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Origami and kirigami inspired self-folding for programming three-dimensional shape shifting of polymer sheets with light
Q. Zhang, J. Wommer, C. O’Rourke, J. Teitelman, Y. Tang, J. Robison, G. Lin, and J. Yin · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
C. R. Qi, L. Yi, H. Su, and L. J. Guibas · 2017
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Analysis of symbolic meanings of folk paper-cut from the perspective of semiotics
T. Shen · 2018
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Biomedical applications of soft robotics
M. Cianchetti, C. Laschi, A. Menciassi, and P. Dario · 2018
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Accurate real-time complex cutting in finite element modeling
T. Xin, P. Marris, A. Mihut, G. Ushaw, and G. Morgan · 2018
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Robotic cutting: Mechanics and control of knife motion
X. Mu, Y. Xue, and Y.-B. Jia · 2019
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Taichi: a language for high-performance computation on spatially sparse data structures
Y. Hu, T.-M. Li, L. Anderson, J. Ragan-Kelley, and F. Durand · 2019
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Deep imitation learning of sequential fabric smoothing from an algorithmic supervisor. in 2020 ieee
D. Seita, A. Ganapathi, R. Hoque, M. Hwang, E. Cen, A. K. Tanwani, A. Balakrishna, B. Thananjeyan, J. Ichnowski, N. Jamali, et al · 2020
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An analysis of svd for deep rotation estimation
J. Levinson, C. Esteves, K. Chen, N. Snavely, A. Kanazawa, A. Rostamizadeh, and A. Makadia · 2020
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Grasping with kirigami shells
Y. Yang, K. Vella, and D. P. Holmes · 2021
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Softgym: Benchmarking deep reinforcement learning for deformable object manipulation
X. Lin, Y. Wang, J. Olkin, and D. Held · 2021
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Threedworld: A platform for interactive multi-modal physical simulation
Edge bleeding artifact reduction for shape from focus in microscopic 3d sensing
S.-H. Park, G.-R. Park, and K.-R. Baek · 2023
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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 · 2023
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Flipbot: Learning continuous paper flipping via coarse-to-fine exteroceptive-proprioceptive exploration
C. Zhao, C. Jiang, J. Cai, M. Y. Wang, H. Yu, and Q. Chen · 2023
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Dexterous robotic cutting based on fracture mechanics and force control
X. Mu, Y. Xue, and Y.-B. Jia · 2023
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Roboninja: Learning an adaptive cutting policy for multi-material objects
Z. Xu, Z. Xian, X. Lin, C. Chi, Z. Huang, C. Gan, and S. Song · 2023
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C. Gan, J. Schwartz, S. Alter, D. Mrowca, M. Schrimpf, J. Traer, J. De Freitas, J. Kubilius, A. Bhandwaldar, N. Haber, et al · 2021
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Disect: A differentiable simulation engine for autonomous robotic cutting
E. Heiden, M. Macklin, Y. Narang, D. Fox, A. Garg, and F. Ramos · 2021
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Daxbench: Benchmarking deformable object manipulation with differentiable physics
S. Chen, Y. Xu, C. Yu, L. Li, X. Ma, Z. Xu, and D. Hsu · 2022
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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 · 2022
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Art and Artists of Twentieth-Century China
M. Sullivan · 2023
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C. Chi, S. Feng, Y. Du, Z. Xu, E. Cousineau, B. Burchfiel, and S. Song · 2023
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Learning fine-grained bimanual manipulation with low-cost hardware
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Large steps in cloth simulation
D. Baraff and A. Witkin · 2023
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D3roma: Disparity diffusion-based depth sensing for material-agnostic robotic manipulation
S. Wei, H. Geng, J. Chen, C. Deng, C. Wenbo, C. Zhao, X. Fang, L. Guibas, and H. Wang · 2024
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Thin-shell object manipulations with differentiable physics simulations
Y. Wang, J. Zheng, Z. Chen, Z. Xian, G. Zhang, C. Liu, and C. Gan · 2024
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Movement primitive diffusion: Learning gentle robotic manipulation of deformable objects
P. M. Scheikl, N. Schreiber, C. Haas, N. Freymuth, G. Neumann, R. Lioutikov, and F. Mathis-Ullrich · 2024
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Unigarmentmanip: A unified framework for category-level garment manipulation via dense visual correspondence
R. Wu, H. Lu, Y. Wang, Y. Wang, and H. Dong · 2024
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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 · 2024
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Paperbot: Learning to design real-world tools using paper, 2024
R. Liu, J. Liang, S. Sudhakar, H. Ha, C. Chi, S. Song, and C. Vondrick · 2024
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Unigarment: A unified simulation and benchmark for garment manipulation
H. Lu, Y. Li, R. Wu, C. Ning, Y. Shen, and H. Dong · 2024
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Data quality in imitation learning
S. Belkhale, Y. Cui, and D. Sadigh · 2024
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Z. Wang, J. Chen, Z. Chen, P. Xie, R. Chen, and L. Yi · 2024
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