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Aiming to replicate human-like dexterity, perceptual experiences, and motion patterns, we explore learning from human demonstrations using a bimanual system with multifingered hands and visuotactile data.
N. Sarkar, X. Yun, and V. R. Kumar, “Dynamic control of 3-D rolling contacts in two-arm manipulation,” in ICRA , 1993
1993
Earlier work this paper cites.
A. Bicchi and V. Kumar, “Robotic grasping and contact: A review,” in ICRA , 2000
2000
Earlier work this paper cites.
R. Platt, A. H. Fagg, and R. A. Grupen, “Manipulation Gaits: Sequences of Grasp Control Tasks,” in ICRA , 2004
2004
Earlier work this paper cites.
C. Ott, O. Eiberger, W. Friedl, B. Bauml, U. Hillenbrand, C. Borst, A. Albu-Schaffer, B. Brunner, H. Hirschmuller, S. Kielhofer, R. Konietschke, M. Suppa, T. Wimbock, F. Zacharias, and G. Hirzinger, “A humanoid two-arm system for dexterous manipulation,” in Humanoids , 2006
2006
Earlier work this paper cites.
F. Caccavale, P. Chiacchio, A. Marino, and L. Villani, “Six-DOF impedance control of dual-arm cooperative manipulators,” Transactions on Mechatronics , 2008
2008
Earlier work this paper cites.
A. Billard, S. Calinon, R. Dillmann, and S. Schaal, “Survey: Robot programming by demonstration,” Springer handbook of robotics , 2008
2008
Earlier work this paper cites.
J. Steffen, C. Elbrechter, R. Haschke, and H. Ritter, “Bio-inspired motion strategies for a bimanual manipulation task,” in Humanoids , 2010
2010
Earlier work this paper cites.
N. Vahrenkamp, M. Przybylski, T. Asfour, and R. Dillmann, “Bimanual grasp planning,” in Humanoids , 2011
2011
Earlier work this paper cites.
T. Feix, J. Romero, H.-B. Schmiedmayer, A. M. Dollar, and D. Kragic, “The grasp taxonomy of human grasp types,” Transactions on human-machine systems , 2015
2015
Earlier work this paper cites.
S. Ioffe and C. Szegedy, “Batch normalization: Accelerating deep network training by reducing internal covariate shift,” in ICML , 2015
2015
Earlier work this paper cites.
D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” in ICLR , 2015
2015
Earlier work this paper cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in CVPR , 2016
2016
Earlier work this paper cites.
A. Hussein, M. M. Gaber, E. Elyan, and C. Jayne, “Imitation learning: A survey of learning methods,” ACM Computing Surveys , 2017
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
R. Calandra, A. Owens, D. Jayaraman, W. Yuan, J. Lin, J. Malik, E. H. Adelson, and S. Levine, “More than a feeling: Learning to grasp and regrasp using vision and touch,” RA-L , 2018
2018
Earlier work this paper cites.
Y. Wu and K. He, “Group normalization,” in ECCV , 2018
2018
Earlier work this paper cites.
OpenAI, M. Andrychowicz, B. Baker, M. Chociej, R. Józefowicz, 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,” IJRR , 2019
2019
Earlier work this paper cites.
H. Ravichandar, A. S. Polydoros, S. Chernova, and A. Billard, “Recent advances in robot learning from demonstration,” Annual review of control, robotics, and autonomous systems , 2020
2020
Cited alongside, same era.
J. Ho, A. Jain, and P. Abbeel, “Denoising diffusion probabilistic models,” in NeurIPS , 2020
2020
Cited alongside, same era.
E. Smith, D. Meger, L. Pineda, R. Calandra, J. Malik, A. Romero Soriano, and M. Drozdzal, “Active 3d shape reconstruction from vision and touch,” in NeurIPS , 2021
2021
Cited alongside, same era.
A. Akhtar, J. A. Austin, J. M. Cornman, D. M. Bala, and Z. Wang, “System and method for an advanced prosthetic hand,” Mar 2021
2021
Cited alongside, same era.
Y. Song, C. Durkan, I. Murray, and S. Ermon, “Maximum likelihood training of score-based diffusion models,” in NeurIPS , 2021
2021
Cited alongside, same era.
H. Fang, H.-S. Fang, Y. Wang, J. Ren, J. Chen, R. Zhang, W. Wang, and C. Lu, “Low-cost exoskeletons for learning whole-arm manipulation in the wild,” in ICRA , 2023
2023
Later among the works it cites.
M. Seo, S. Han, K. Sim, S. H. Bang, C. Gonzalez, L. Sentis, and Y. Zhu, “Deep imitation learning for humanoid loco-manipulation through human teleoperation,” in Humanoids , 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
S. P. Arunachalam, S. Silwal, B. Evans, and L. Pinto, “Dexterous imitation made easy: A learning-based framework for efficient dexterous manipulation,” in ICRA , 2023
2023
Later among the works it cites.
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Y. Chen, T. Wu, S. Wang, X. Feng, J. Jiang, Z. Lu, S. McAleer, H. Dong, S.-C. Zhu, and Y. Yang, “Towards human-level bimanual dexterous manipulation with reinforcement learning,” in NeurIPS , 2022
2022
Cited alongside, same era.
H. Qi, A. Kumar, R. Calandra, Y. Ma, and J. Malik, “In-hand object rotation via rapid motor adaptation,” in CoRL , 2022
2022
Cited alongside, same era.
Y. Qin, H. Su, and X. Wang, “From one hand to multiple hands: Imitation learning for dexterous manipulation from single-camera teleoperation,” RA-L , 2022
2022
Cited alongside, same era.
A. Sivakumar, K. Shaw, and D. Pathak, “Robotic telekinesis: Learning a robotic hand imitator by watching humans on youtube,” in RSS , 2022
2022
Cited alongside, same era.
S. Suresh, Z. Si, J. G. Mangelson, W. Yuan, and M. Kaess, “Shapemap 3-d: Efficient shape mapping through dense touch and vision,” in ICRA , 2022
2022
Cited alongside, same era.
N. Sunil, S. Wang, Y. She, E. Adelson, and A. R. Garcia, “Visuotactile affordances for cloth manipulation with local control,” in CoRL , 2022
2022
Cited alongside, same era.
T. Z. Zhao, V. Kumar, S. Levine, and C. Finn, “Learning fine-grained bimanual manipulation with low-cost hardware,” in RSS , 2023
2023
Cited alongside, same era.
2023
Later among the works it cites.
H. Qi, B. Yi, S. Suresh, M. Lambeta, Y. Ma, R. Calandra, and J. Malik, “General in-hand object rotation with vision and touch,” in CoRL , 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
J. Xu, H. Lin, S. Song, and M. Ciocarlie, “Tandem3d: Active tactile exploration for 3d object recognition,” in ICRA , 2023
2023
Later among the works it cites.
I. Guzey, B. Evans, S. Chintala, and L. Pinto, “Dexterity from touch: Self-supervised pre-training of tactile representations with robotic play,” in CoRL , 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
C. Chi, S. Feng, Y. Du, Z. Xu, E. Cousineau, B. Burchfiel, and S. Song, “Diffusion policy: Visuomotor policy learning via action diffusion,” in RSS , 2023
2023
Later among the works it cites.
Y. Li, C. Pan, H. Xu, X. Wang, and Y. Wu, “Efficient bimanual handover and rearrangement via symmetry-aware actor-critic learning,” in ICRA , 2023
2023
Later among the works it cites.
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