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Rearranging and manipulating deformable objects such as cables, fabrics, and bags is a long-standing challenge in robotic manipulation.
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N. Hayashi, T. Tomizawa, T. Suehiro, and S. Kudoh, “Dual Arm Robot Fabric Wrapping Operation Using Target Lines,” in
2014
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L. Sun, G. Aragon-Camarasa, S. Rogers, and J. P. Siebert, “Accurate Garment Surface Analysis using an Active Stereo Robot Head with Application to Dual-Arm Flattening,” in
2015
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Y. Bai, W. Yu, and C. K. Liu, “Dexterous Manipulation of Cloth,” in
2016
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G. Brockman, V. Cheung, L. Pettersson, J. Schneider, J. Schulman, J. Tang, and W. Zaremba, “OpenAI Gym,” 2016
2016
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K. He, X. Zhang, S. Ren, and J. Sun, “Deep Residual Learning for Image Recognition,” in
2016
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S. Levine, C. Finn, T. Darrell, and P. Abbeel, “End-to-end Training of Deep Visuomotor Policies,” in
2016
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OpenAI, M. Andrychowicz, B. Baker, M. Chociej, R. Jozefowicz, B. McGrew, J. Pachocki, A. Petron, M. Plappert, G. Powell, A. Ray, J. Schneider, S. Sidor, J. Tobin, P. Welinder, L. Weng, and W. Zaremba, “Learning Dexterous In-Hand Manipulation,” in
2019
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D. Seita, N. Jamali, M. Laskey, R. Berenstein, A. K. Tanwani, P. Baskaran, S. Iba, J. Canny, and K. Goldberg, “Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making,” in
2019
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M. Verschoor and A. Jalba, “Efficient and accurate collision response for elastically deformable models,”
2019
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A. Wang, T. Kurutach, K. Liu, P. Abbeel, and A. Tamar, “Learning Robotic Manipulation through Visual Planning and Acting,” in
2019
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A. Zeng, “Learning Visual Affordances for Robotic Manipulation,” Ph.D. dissertation, Princeton University, 2019
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M. Andrychowicz, F. Wolski, A. Ray, J. Schneider, R. Fong, P. Welinder, B. McGrew, J. Tobin, P. Abbeel, and W. Zaremba, “Hindsight Experience Replay,” in
2017
Cited alongside, same era.
N. Hayashi, T. Suehiro, and S. Kudoh, “Planning Method for a Wrapping-With-Fabric Task Using Regrasping,” in
2017
Cited alongside, same era.
A. Nair, D. Chen, P. Agrawal, P. Isola, P. Abbeel, J. Malik, and S. Levine, “Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation,” in
2017
Cited alongside, same era.
B. O. Community,
2018
Cited alongside, same era.
E. Corona, G. Alenya, A. Gabas, and C. Torras, “Active Garment Recognition and Target Grasping Point Detection Using Deep Learning,” in
2018
Cited alongside, same era.
2018
Cited alongside, same era.
Z. Erickson, H. Clever, G. Turk, C. K. Liu, and C. Kemp, “Deep Haptic Model Predictive Control for Robot-Assisted Dressing,” in
2018
Cited alongside, same era.
2019
Later among the works it cites.
A. Zeng, S. Song, J. Lee, A. Rodriguez, and T. Funkhouser, “TossingBot: Learning to Throw Arbitrary Objects with Residual Physics,” in
2019
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2020
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E. Coumans and Y. Bai, “PyBullet, a Python Module for Physics Simulation for Games, Robotics and Machine Learning,”
2020
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Z. Erickson, V. Gangaram, A. Kapusta, C. K. Liu, and C. C. Kemp, “Assistive Gym: A Physics Simulation Framework for Assistive Robotics,” in
2020
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R. Hoque, D. Seita, A. Balakrishna, A. Ganapathi, A. Tanwani, N. Jamali, K. Yamane, S. Iba, and K. Goldberg, “VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation,” in
2020
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R. Jangir, G. Alenya, and C. Torras, “Dynamic Cloth Manipulation with Deep Reinforcement Learning,” in
2020
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R. Lee, D. Ward, A. Cosgun, V. Dasagi, P. Corke, and J. Leitner, “Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience,” in
2020
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X. Lin, Y. Wang, J. Olkin, and D. Held, “SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation,” in
2020
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M. Lippi, P. Poklukar, M. C. Welle, A. Varava, H. Yin, A. Marino, and D. Kragic, “Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation,” in
2020
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D. Seita, A. Ganapathi, R. Hoque, M. Hwang, E. Cen, A. K. Tanwani, A. Balakrishna, B. Thananjeyan, J. Ichnowski, N. Jamali, K. Yamane, S. Iba, J. Canny, and K. Goldberg, “Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor,” in
2020
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P. Sundaresan, J. Grannen, B. Thananjeyan, A. Balakrishna, M. Laskey, K. Stone, J. E. Gonzalez, and K. Goldberg, “Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data,” in
2020
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J. Wu, X. Sun, A. Zeng, S. Song, J. Lee, S. Rusinkiewicz, and T. Funkhouser, “Spatial Action Maps for Mobile Manipulation,” in
2020
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Y. Wu, W. Yan, T. Kurutach, L. Pinto, and P. Abbeel, “Learning to Manipulate Deformable Objects without Demonstrations,” in
2020
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M. Yan, Y. Zhu, N. Jin, and J. Bohg, “Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects,” in
2020
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W. Yan, A. Vangipuram, P. Abbeel, and L. Pinto, “Learning Predictive Representations for Deformable Objects Using Contrastive Estimation,” in
2020
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K. Zakka, A. Zeng, J. Lee, and S. Song, “Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly,” in
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A. Zeng, P. Florence, J. Tompson, S. Welker, J. Chien, M. Attarian, T. Armstrong, I. Krasin, D. Duong, V. Sindhwani, and J. Lee, “Transporter Networks: Rearranging the Visual World for Robotic Manipulation,” in
2020
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2020
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A. Ganapathi, P. Sundaresan, B. Thananjeyan, A. Balakrishna, D. Seita, J. Grannen, M. Hwang, R. Hoque, J. Gonzalez, N. Jamali, K. Yamane, S. Iba, and K. Goldberg, “Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics,” in
2021
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