Learning Dexterous In-Hand Manipulation.
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[1] Ronald S. Fearing,et al. Implementing a force strategy for object re-orientation , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.
[2] Matthew T. Mason,et al. An exploration of sensorless manipulation , 1986, IEEE J. Robotics Autom..
[3] Hirochika Inoue,et al. Tumbling Objects Using a Multi-fingered Robot , 1991 .
[4] Daniela Rus,et al. Dexterous rotations of polyhedra , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.
[5] Masayuki Inaba,et al. Pivoting: A new method of graspless manipulation of object by robot fingers , 1993, Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93).
[6] Antonio Bicchi,et al. Dexterous manipulation through rolling , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.
[7] Michael A. Erdmann,et al. Stably supported rotations of a planar polygon with two frictionless contacts , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.
[8] Jeffrey C. Trinkle,et al. Dextrous manipulation with rolling contacts , 1997, Proceedings of International Conference on Robotics and Automation.
[9] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[10] C. Pehoski,et al. In-hand manipulation in young children: rotation of an object in the fingers. , 1997, The American journal of occupational therapy : official publication of the American Occupational Therapy Association.
[11] Michael A. Erdmann,et al. An Exploration of Nonprehensile Two-Palm Manipulation , 1998, Int. J. Robotics Res..
[12] Jeffrey C. Trinkle,et al. Dextrous manipulation by rolling and finger gaiting , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).
[13] Kamal K. Gupta,et al. Planning quasi-static fingertip manipulations for reconfiguring objects , 1999, IEEE Trans. Robotics Autom..
[14] Daniela Rus,et al. In-Hand Dexterous Manipulation of Piecewise-Smooth 3-D Objects , 1999, Int. J. Robotics Res..
[15] Allison M. Okamura,et al. An overview of dexterous manipulation , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).
[16] Antonio Bicchi,et al. Hands for dexterous manipulation and robust grasping: a difficult road toward simplicity , 2000, IEEE Trans. Robotics Autom..
[17] Matthew T. Mason,et al. Mechanics, Planning, and Control for Tapping , 1998, Int. J. Robotics Res..
[18] Suguru Arimoto,et al. Dynamic object manipulation using a virtual frame by a triple soft-fingered robotic hand , 2010, 2010 IEEE International Conference on Robotics and Automation.
[19] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[20] Aaron M. Dollar,et al. On dexterity and dexterous manipulation , 2011, 2011 15th International Conference on Advanced Robotics (ICAR).
[21] Yuval Tassa,et al. MuJoCo: A physics engine for model-based control , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[22] Zoran Popovic,et al. Contact-invariant optimization for hand manipulation , 2012, SCA '12.
[23] Helge J. Ritter,et al. Rotary object dexterous manipulation in hand: a feedback-based method , 2013, Int. J. Mechatronics Autom..
[24] Zoe Doulgeri,et al. On rolling contact motion by robotic fingers via prescribed performance control , 2013, 2013 IEEE International Conference on Robotics and Automation.
[25] Sergey Levine,et al. Guided Policy Search , 2013, ICML.
[26] C. Karen Liu,et al. Dexterous manipulation using both palm and fingers , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[27] Siddhartha S. Srinivasa,et al. Extrinsic dexterity: In-hand manipulation with external forces , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[28] Aude Billard,et al. Learning object-level impedance control for robust grasping and dexterous manipulation , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[29] Danica Kragic,et al. Learning of grasp adaptation through experience and tactile sensing , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[30] Jan Peters,et al. Learning robot in-hand manipulation with tactile features , 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).
[31] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[32] Sergey Levine,et al. Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments , 2015, ArXiv.
[33] Nolan Wagener,et al. Learning contact-rich manipulation skills with guided policy search , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[34] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Wojciech Zaremba,et al. Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model , 2016, ArXiv.
[36] Sergey Levine,et al. Optimal control with learned local models: Application to dexterous manipulation , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[37] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[38] Sergey Levine,et al. Learning Dexterous Manipulation Policies from Experience and Imitation , 2016, ArXiv.
[39] Danica Kragic,et al. The GRASP Taxonomy of Human Grasp Types , 2016, IEEE Transactions on Human-Machine Systems.
[40] Sergey Levine,et al. Deep spatial autoencoders for visuomotor learning , 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[41] Sergey Levine,et al. High-Dimensional Continuous Control Using Generalized Advantage Estimation , 2015, ICLR.
[42] Alberto Rodriguez,et al. Sampling-based Planning of In-Hand Manipulation with External Pushes , 2017, ISRR.
[43] Xinyu Liu,et al. Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics , 2017, Robotics: Science and Systems.
[44] Razvan Pascanu,et al. Sim-to-Real Robot Learning from Pixels with Progressive Nets , 2016, CoRL.
[45] Wojciech Zaremba,et al. Domain randomization for transferring deep neural networks from simulation to the real world , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[46] Greg Turk,et al. Preparing for the Unknown: Learning a Universal Policy with Online System Identification , 2017, Robotics: Science and Systems.
[47] Abhinav Gupta,et al. Robust Adversarial Reinforcement Learning , 2017, ICML.
[48] Sergey Levine,et al. Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning , 2017, ICLR.
[49] Danica Kragic,et al. Reinforcement Learning for Pivoting Task , 2017, ArXiv.
[50] Alec Radford,et al. Proximal Policy Optimization Algorithms , 2017, ArXiv.
[51] Sergey Levine,et al. Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[52] James Davidson,et al. Supervision via competition: Robot adversaries for learning tasks , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[53] Jian Shi,et al. Dynamic In-Hand Sliding Manipulation , 2017, IEEE Trans. Robotics.
[54] Sergey Levine,et al. (CAD)$^2$RL: Real Single-Image Flight without a Single Real Image , 2016, Robotics: Science and Systems.
[55] Marcin Andrychowicz,et al. Sim-to-Real Transfer of Robotic Control with Dynamics Randomization , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[56] Pietro Falco,et al. On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation , 2018, IEEE Robotics and Automation Letters.
[57] Sergey Levine,et al. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection , 2016, Int. J. Robotics Res..
[58] Atil Iscen,et al. Sim-to-Real: Learning Agile Locomotion For Quadruped Robots , 2018, Robotics: Science and Systems.
[59] Wojciech Zaremba,et al. Domain Randomization and Generative Models for Robotic Grasping , 2017, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[60] Xinyu Liu,et al. Dex-Net 3.0: Computing Robust Robot Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning , 2017, ArXiv.
[61] Marcin Andrychowicz,et al. Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research , 2018, ArXiv.
[62] Marcin Andrychowicz,et al. Asymmetric Actor Critic for Image-Based Robot Learning , 2017, Robotics: Science and Systems.
[63] Matthew W. Hoffman,et al. Distributed Distributional Deterministic Policy Gradients , 2018, ICLR.
[64] Nando de Freitas,et al. Reinforcement and Imitation Learning for Diverse Visuomotor Skills , 2018, Robotics: Science and Systems.
[65] Sergey Levine,et al. Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations , 2017, Robotics: Science and Systems.
[66] Sergey Levine,et al. QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation , 2018, CoRL.