Fetching the paper…
Reading the bibliography…
Generalized in-hand manipulation has long been an unsolved challenge of robotics.
Deep Dynamics Models for Learning Dexterous Manipulation
A. Nagabandi, K. Konolige, S. Levine, and V. Kumar · 1909
Earlier work this paper cites.
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. Tezak, J. Tworek, P. Welinder, L. Weng, Q. Yuan, W. Zaremba, and L. Zhang · 1910
Earlier work this paper cites.
Implementing a Force Strategy for Object Re-orientation
R. Fearing · 1986
Earlier work this paper cites.
Dextrous Manipulation by Rolling and Finger Gaiting
L. Han and J. C. Trinkle · 1998
Earlier work this paper cites.
In-Hand Dexterous Manipulation of Piecewise-Smooth 3-D Objects
D. Rus · 1999
Earlier work this paper cites.
An Overview of Dexterous Manipulation
A. M. Okamura, N. Smaby, and M. R. Cutkosky · 2000
Earlier work this paper cites.
Manipulation Gaits: Sequences of Grasp Control Tasks
R. Platt, A. H. Fagg, and R. A. Grupen · 2004
Earlier work this paper cites.
Dynamic Regrasping Using a High-speed Multifingered Hand and a High-speed Vision System
N. Furukawa, A. Namiki, S. Taku, and M. Ishikawa · 2006
Earlier work this paper cites.
Dexterous Manipulation Planning Using Probabilistic Roadmaps in Continuous Grasp Subspaces
J.-P. Saut, A. Sahbani, S. El-Khoury, and V. Perdereau · 2007
Earlier work this paper cites.
Contact-Invariant Optimization for Hand Manipulation
I. Mordatch, Z. Popović, and E. Todorov · 2012
Earlier work this paper cites.
AllegroHand
WonikRobotics · 2013
Earlier work this paper cites.
Dexterous Manipulation Using Both Palm and Fingers
Y. Bai and C. K. Liu · 2014
Earlier work this paper cites.
Extrinsic Dexterity: In-Hand Manipulation with External Forces
N. C. Dafle, A. Rodriguez, R. Paolini, B. Tang, S. S. Srinivasa, M. Erdmann, M. T. Mason, I. Lundberg, H. Staab, and T. Fuhlbrigge · 2014
Cited alongside, same era.
Learning Robot In-Hand Manipulation with Tactile Features
H. Van Hoof, T. Hermans, G. Neumann, and J. Peters · 2015
Cited alongside, same era.
Adam: A Method for Stochastic Optimization
D. P. Kingma and J. Ba · 2015
Cited alongside, same era.
Optimal Control with Learned Local Models: Application to Dexterous Manipulation
V. Kumar, E. Todorov, and S. Levine · 2016
Cited alongside, same era.
Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration
A. Gupta, C. Eppner, S. Levine, and P. Abbeel · 2016
Cited alongside, same era.
Learning Dexterous Manipulation Policies from Experience and Imitation
V. Kumar, A. Gupta, E. Todorov, and S. Levine · 2016
Learning Quadrupedal Locomotion over Challenging Terrain
J. Lee, J. Hwangbo, L. Wellhausen, V. Koltun, and M. Hutter · 2020
Later among the works it cites.
RMA: Rapid Motor Adaptation for Legged Robots
A. Kumar, Z. Fu, D. Pathak, and J. Malik · 2021
Later among the works it cites.
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning
W. Huang, I. Mordatch, P. Abbeel, and D. Pathak · 2021
Later among the works it cites.
State-Only Imitation Learning for Dexterous Manipulation
I. Radosavovic, X. Wang, L. Pinto, and J. Malik · 2021
Later among the works it cites.
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
V. Makoviychuk, L. Wawrzyniak, Y. Guo, M. Lu, K. Storey, M. Macklin, D. Hoeller, N. Rudin, A. Allshire, A. Handa, and G. State · 2021
Later among the works it cites.
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World Trifinger
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Adaptive Control for Pivoting with Visual and Tactile Feedback
Y. Karayiannidis, C. Smith, D. Kragic, et al · 2016
Cited alongside, same era.
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
D.-A. Clevert, T. Unterthiner, and S. Hochreiter · 2016
Cited alongside, same era.
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
J. Tobin, R. Fong, A. Ray, J. Schneider, W. Zaremba, and P. Abbeel · 2017
Cited alongside, same era.
Proximal Policy Optimization Algorithms
J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov · 2017
Cited alongside, same era.
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
A. Rajeswaran, V. Kumar, A. Gupta, G. Vezzani, J. Schulman, E. Todorov, and S. Levine · 2018
Cited alongside, same era.
Relaxed-Rigidity Constraints: Kinematic Trajectory Optimization and Collision Avoidance for In-Grasp Manipulation
B. Sundaralingam and T. Hermans · 2019
Cited alongside, same era.
A. Allshire, M. Mittal, V. Lodaya, V. Makoviychuk, D. Makoviichuk, F. Widmaier, M. Wüthrich, S. Bauer, A. Handa, and A. Garg · 2021
Later among the works it cites.
Learning Purely Tactile In-Hand Manipulation with a Torque-Controlled Hand
L. Sievers, J. Pitz, and B. Bäuml · 2022
Closest in time.
Complex In-Hand Manipulation via Compliance-Enabled Finger Gaiting and Multi-Modal Planning
A. Morgan, K. Hang, B. Wen, K. E. Bekris, and A. Dollar · 2022
Closest in time.
Coupling Vision and Proprioception for Navigation of Legged Robots
Z. Fu, A. Kumar, A. Agarwal, H. Qi, J. Malik, and D. Pathak · 2022
Closest in time.
Controlling Palm-Object Interactions Via Friction for Enhanced In-Hand Manipulation
C. Teeple, B. Aktas, M. C.-S. Yuen, G. Kim, R. D. Howe, and R. Wood · 2022
Closest in time.
A System for General In-Hand Object Re-Orientation
T. Chen, J. Xu, and P. Agrawal · 2022
Closest in time.
On the Feasibility of Learning Finger-gaiting In-hand Manipulation with Intrinsic Sensing
G. Khandate, M. Haas-Heger, and M. Ciocarlie · 2022
Closest in time.