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Replicating human-like dexterity in robot hands represents one of the largest open problems in robotics.
Implementing a force strategy for object re-orientation
R. Fearing · 1986
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The robot musician ‘wabot-2’(waseda robot-2)
I. Kato, S. Ohteru, K. Shirai, T. Matsushima, S. Narita, S. Sugano, T. Kobayashi, and E. Fujisawa · 1987
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Alvinn: An autonomous land vehicle in a neural network
D. A. Pomerleau · 1988
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In-hand dexterous manipulation of piecewise-smooth 3-d objects
D. Rus · 1999
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An overview of dexterous manipulation
A. Okamura, N. Smaby, and M. Cutkosky · 2000
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An overview of dexterous manipulation
A. M. Okamura, N. Smaby, and M. R. Cutkosky · 2000
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URL https://www.shadowrobot.com/dexterous-hand-series/
S. R. Company, 2005 · 2005
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Design and analysis of a piano playing robot
D. Zhang, J. Lei, B. Li, D. Lau, and C. Cameron · 2009
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Electronic piano playing robot
J.-C. Lin, H.-H. Huang, Y.-F. Li, J.-C. Tai, and L.-W. Liu · 2010
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Understanding the difficulty of training deep feedforward neural networks
X. Glorot and Y. Bengio · 2010
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On dexterity and dexterous manipulation
R. R. Ma and A. M. Dollar · 2011
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On dexterity and dexterous manipulation
R. R. Ma and A. M. Dollar · 2011
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Musical piano performance by the act hand
A. Zhang, M. Malhotra, and Y. Matsuoka · 2011
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Discovery of complex behaviors through contact-invariant optimization
I. Mordatch, E. Todorov, and Z. Popović · 2012
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Dual arm manipulation—a survey
C. Smith, Y. Karayiannidis, L. Nalpantidis, X. Gratal, P. Qi, D. V. Dimarogonas, and D. Kragic · 2012
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Mujoco: A physics engine for model-based control
E. Todorov, T. Erez, and Y. Tassa · 2012
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Synthesis and stabilization of complex behaviors through online trajectory optimization
Y. Tassa, T. Erez, and E. Todorov · 2012
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Controller design for music playing robot—applied to the anthropomorphic piano robot
Y.-F. Li and L.-L. Chuang · 2013
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Mir_eval: A transparent implementation of common mir metrics
C. Raffel, B. McFee, E. J. Humphrey, J. Salamon, O. Nieto, D. Liang, and D. P. W. Ellis · 2014
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Dropout: a simple way to prevent neural networks from overfitting
N. Srivastava, G. E. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov · 2014
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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Deep reinforcement learning with double q-learning
H. van Hasselt, A. Guez, and D. Silver · 2015
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Design of a highly biomimetic anthropomorphic robotic hand towards artificial limb regeneration
Z. Xu and E. Todorov · 2016
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J. Ba, J. R. Kiros, and G. E. Hinton · 2016
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Learning complex dexterous manipulation with deep reinforcement learning and demonstrations
A. Rajeswaran, V. Kumar, A. Gupta, J. Schulman, E. Todorov, and S. Levine · 2017
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Emergence of locomotion behaviours in rich environments
N. Heess, D. TB, S. Sriram, J. Lemmon, J. Merel, G. Wayne, Y. Tassa, T. Erez, Z. Wang, S. Eslami, et al · 2017
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Dynamics-aware unsupervised discovery of skills
A. Sharma, S. Gu, S. Levine, V. Kumar, and K. Hausman · 2020
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dm_control: Software and tasks for continuous control
S. Tunyasuvunakool, A. Muldal, Y. Doron, S. Liu, S. Bohez, J. Merel, T. Erez, T. Lillicrap, N. Heess, and Y. Tassa · 2020
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Catch & carry: reusable neural controllers for vision-guided whole-body tasks
J. Merel, S. Tunyasuvunakool, A. Ahuja, Y. Tassa, L. Hasenclever, V. Pham, T. Erez, G. Wayne, and N. Heess · 2020
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The stewart hand: A highly dexterous, six-degrees-of-freedom manipulator based on the stewart-gough platform
C. McCann, V. Patel, and A. Dollar · 2021
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Solving challenging dexterous manipulation tasks with trajectory optimisation and reinforcement learning
H. J. Charlesworth and G. Montana · 2021
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Learning dexterous in-hand manipulation
M. Andrychowicz, B. Baker, M. Chociej, R. Józefowicz, B. McGrew, J. W. Pachocki, A. Petron, M. Plappert, G. Powell, A. Ray, J. Schneider, S. Sidor, J. Tobin, P. Welinder, L. Weng, and W. Zaremba · 2018
Cited alongside, same era.
An anthropomorphic soft skeleton hand exploiting conditional models for piano playing
J. Hughes and P. Maiolino · 2018
Cited alongside, same era.
Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
T. Haarnoja, A. Zhou, P. Abbeel, and S. Levine · 2018
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JAX: composable transformations of Python+NumPy programs, 2018
J. Bradbury, R. Frostig, P. Hawkins, M. J. Johnson, C. Leary, D. Maclaurin, G. Necula, A. Paszke, J. VanderPlas, S. Wanderman-Milne, and Q. Zhang · 2018
Cited alongside, same era.
Addressing function approximation error in actor-critic methods
S. Fujimoto, H. van Hoof, and D. Meger · 2018
Cited alongside, same era.
Solving rubik’s cube with a robot hand
OpenAI, I. Akkaya, M. Andrychowicz, M. Chociej, M. Litwin, B. McGrew, A. Petron, A. Paino, M. Plappert, G. Powell, R. Ribas, J. Schneider, N. A. Tezak, J. Tworek, P. Welinder, L. Weng, Q. Yuan, W. Zaremba, and L. M. Zhang · 2019
Cited alongside, same era.
Deep dynamics models for learning dexterous manipulation
A. Nagabandi, K. Konolige, S. Levine, and V. Kumar · 2019
Cited alongside, same era.
I. Radosavovic, X. Wang, L. Pinto, and J. Malik · 2021
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AMP: Adversarial motion priors for stylized physics-based character control
X. B. Peng, Z. Ma, P. Abbeel, S. Levine, and A. Kanazawa · 2021
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Global planning for contact-rich manipulation via local smoothing of quasi-dynamic contact models
T. Pang, H. J. T. Suh, L. Yang, and R. Tedrake · 2022
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Dextreme: Transfer of agile in-hand manipulation from simulation to reality
A. Handa, A. Allshire, V. Makoviychuk, A. Petrenko, R. Singh, J. Liu, D. Makoviichuk, K. Van Wyk, A. Zhurkevich, B. Sundaralingam, et al · 2022
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A system for general in-hand object re-orientation
T. Chen, J. Xu, and P. Agrawal · 2022
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In-Hand Object Rotation via Rapid Motor Adaptation
H. Qi, A. Kumar, R. Calandra, Y. Ma, and J. Malik · 2022
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An unconstrained convex formulation of compliant contact
A. M. Castro, F. N. Permenter, and X. Han · 2022
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Robotic Finger Hardware and Controls Design for Dynamic Piano Playing
R. Castro Ornelas · 2022
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Playing piano with a robotic hand, 2022
S. Yeon · 2022
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Towards learning to play piano with dexterous hands and touch
H. Xu, Y. Luo, S. Wang, T. Darrell, and R. Calandra · 2022
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MuJoCo Menagerie: A collection of high-quality simulation models for MuJoCo, 2022
K. Zakka, Y. Tassa, and MuJoCo Menagerie Contributors · 2022
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A walk in the park: Learning to walk in 20 minutes with model-free reinforcement learning
L. Smith, I. Kostrikov, and S. Levine · 2022
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Dropout q-functions for doubly efficient reinforcement learning
T. Hiraoka, T. Imagawa, T. Hashimoto, T. Onishi, and Y. Tsuruoka · 2022
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Predictive sampling: Real-time behaviour synthesis with mujoco
T. A. Howell, N. Gileadi, S. Tunyasuvunakool, K. Zakka, T. Erez, and Y. Tassa · 2022
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Adversarial motion priors make good substitutes for complex reward functions
A. Escontrela, X. B. Peng, W. Yu, T. Zhang, A. Iscen, K. Goldberg, and P. Abbeel · 2022
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