Learning Deep Visuomotor Policies for Dexterous Hand Manipulation
暂无分享,去创建一个
Aravind Rajeswaran | Vikash Kumar | Emanuel Todorov | Andrew Li | Shivam Singhal | Divye Jain | E. Todorov | Vikash Kumar | A. Rajeswaran | Andrew Li | Divye Jain | Shivam Singhal
[1] Misha Denil,et al. Learning Awareness Models , 2018, ICLR.
[2] Yuval Tassa,et al. Emergence of Locomotion Behaviours in Rich Environments , 2017, ArXiv.
[3] Vikash Kumar,et al. Manipulators and Manipulation in high dimensional spaces , 2016 .
[4] Henry Zhu,et al. Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[5] Peter K. Allen,et al. Graspit! A versatile simulator for robotic grasping , 2004, IEEE Robotics & Automation Magazine.
[6] Ronald J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[7] Emanuel Todorov,et al. Ensemble-CIO: Full-body dynamic motion planning that transfers to physical humanoids , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[8] Razvan Pascanu,et al. Sim-to-Real Robot Learning from Pixels with Progressive Nets , 2016, CoRL.
[9] Jitendra Malik,et al. Investigating Deep Reinforcement Learning For Grasping Objects With An Anthropomorphic Hand , 2018 .
[10] Marcin Andrychowicz,et al. Overcoming Exploration in Reinforcement Learning with Demonstrations , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[11] Oliver Brock,et al. A novel type of compliant and underactuated robotic hand for dexterous grasping , 2016, Int. J. Robotics Res..
[12] Allan Jabri,et al. Universal Planning Networks , 2018, ICML.
[13] Oliver Kroemer,et al. Learning robot tactile sensing for object manipulation , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[14] Yuval Tassa,et al. Real-time behaviour synthesis for dynamic hand-manipulation , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[15] Sham M. Kakade,et al. Towards Generalization and Simplicity in Continuous Control , 2017, NIPS.
[16] Aaron M. Dollar,et al. A Hand-Centric Classification of Human and Robot Dexterous Manipulation , 2013, IEEE Transactions on Haptics.
[17] Sham M. Kakade,et al. Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control , 2018, ICLR.
[18] Abhinav Gupta,et al. Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours , 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[19] Marcin Andrychowicz,et al. Asymmetric Actor Critic for Image-Based Robot Learning , 2017, Robotics: Science and Systems.
[20] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[21] Alex Graves,et al. Asynchronous Methods for Deep Reinforcement Learning , 2016, ICML.
[22] Zoran Popovic,et al. Contact-invariant optimization for hand manipulation , 2012, SCA '12.
[23] Sergey Levine,et al. Path integral guided policy search , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[24] Aaron Hertzmann,et al. Trajectory Optimization for Full-Body Movements with Complex Contacts , 2013, IEEE Transactions on Visualization and Computer Graphics.
[25] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[26] Sergey Levine,et al. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection , 2016, Int. J. Robotics Res..
[27] Yuval Tassa,et al. Synthesis and stabilization of complex behaviors through online trajectory optimization , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[28] Jan Peters,et al. Learning robot in-hand manipulation with tactile features , 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).
[29] Atil Iscen,et al. Sim-to-Real: Learning Agile Locomotion For Quadruped Robots , 2018, Robotics: Science and Systems.
[30] Marcin Andrychowicz,et al. Sim-to-Real Transfer of Robotic Control with Dynamics Randomization , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[31] Sergey Levine,et al. Learning dexterous manipulation for a soft robotic hand from human demonstrations , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[32] Sergey Levine,et al. DeepMimic , 2018, ACM Trans. Graph..
[33] Sham M. Kakade,et al. On the sample complexity of reinforcement learning. , 2003 .
[34] Jun Wang,et al. Synthesis of force-closure grasps on 3-D objects based on the Q distance , 2003, IEEE Trans. Robotics Autom..
[35] Russ Tedrake,et al. A direct method for trajectory optimization of rigid bodies through contact , 2014, Int. J. Robotics Res..
[36] Jan Peters,et al. Noname manuscript No. (will be inserted by the editor) Policy Search for Motor Primitives in Robotics , 2022 .
[37] Sham M. Kakade,et al. A Natural Policy Gradient , 2001, NIPS.
[38] Fei-Fei Li,et al. Large-Scale Video Classification with Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[39] Yuval Tassa,et al. MuJoCo: A physics engine for model-based control , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[40] BrockOliver,et al. A novel type of compliant and underactuated robotic hand for dexterous grasping , 2016 .
[41] Yuval Tassa,et al. Continuous control with deep reinforcement learning , 2015, ICLR.
[42] Ken Goldberg,et al. Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation , 2017, ICRA.
[43] 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).
[44] Jakub W. Pachocki,et al. Learning dexterous in-hand manipulation , 2018, Int. J. Robotics Res..
[45] Sergey Levine,et al. (CAD)$^2$RL: Real Single-Image Flight without a Single Real Image , 2016, Robotics: Science and Systems.
[46] Richard M. Murray,et al. A Mathematical Introduction to Robotic Manipulation , 1994 .
[47] Balaraman Ravindran,et al. EPOpt: Learning Robust Neural Network Policies Using Model Ensembles , 2016, ICLR.
[48] Emanuel Todorov,et al. Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system , 2018, 2018 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR).
[49] Geoffrey J. Gordon,et al. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning , 2010, AISTATS.
[50] Sergey Levine,et al. High-Dimensional Continuous Control Using Generalized Advantage Estimation , 2015, ICLR.
[51] Sergey Levine,et al. Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations , 2017, Robotics: Science and Systems.
[52] Nando de Freitas,et al. Reinforcement and Imitation Learning for Diverse Visuomotor Skills , 2018, Robotics: Science and Systems.