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A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms

6 July 2019

Papers citing "A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms"

50 / 164 papers shown

Title
Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision Benjamin Burchfiel George Konidaris 88 8 0 20 Jun 2018
Learning 6-DoF Grasping and Pick-Place Using Attention Focus Marcus Gualtieri Robert Platt 93 56 0 15 Jun 2018
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck Dieter Fox PINN 3DPC AI4CE 262 162 0 15 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 238 603 0 04 Jun 2018
More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch Roberto Calandra Andrew Owens Dinesh Jayaraman Justin Lin Wenzhen Yuan Jitendra Malik Edward H. Adelson Sergey Levine 93 343 0 28 May 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 102 812 0 21 May 2018
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications Daniel S. Brown S. Niekum OffRL 91 82 0 20 May 2018
Behavioral Cloning from Observation F. Torabi Garrett A. Warnell Peter Stone OffRL 115 732 0 04 May 2018
Multi-Modal Geometric Learning for Grasping and Manipulation David Watkins-Valls Jacob Varley Peter K. Allen 87 62 0 20 Mar 2018
Learning to Explore with Meta-Policy Gradient Tianbing Xu Qiang Liu Liang Zhao Jian Peng 74 54 0 13 Mar 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 254 2,239 0 08 Mar 2018
Kinematic Morphing Networks for Manipulation Skill Transfer Péter Englert Marc Toussaint 3DPC 26 5 0 05 Mar 2018
Active model learning and diverse action sampling for task and motion planning Zi Wang Caelan Reed Garrett L. Kaelbling Tomás Lozano-Pérez 89 81 0 02 Mar 2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning Vladimir Feinberg Alvin Wan Ion Stoica Michael I. Jordan Joseph E. Gonzalez Sergey Levine OffRL 72 317 0 28 Feb 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch Martin Riedmiller Roland Hafner Thomas Lampe Michael Neunert Jonas Degrave T. Wiele Volodymyr Mnih N. Heess Jost Tobias Springenberg 95 449 0 28 Feb 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 116 240 0 25 Feb 2018
Meta-Reinforcement Learning of Structured Exploration Strategies Abhishek Gupta Russell Mendonca YuXuan Liu Pieter Abbeel Sergey Levine OffRL 115 349 0 20 Feb 2018
Accurate Contact Localization and Indentation Depth Prediction With an Optics-based Tactile Sensor Pedro Piacenza Weipeng Dang Emily Hannigan Jeremy Espinal Ikram Hussain Ioannis Kymissis M. Ciocarlie 36 19 0 19 Feb 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 105 227 0 13 Feb 2018
Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics Ajinkya Jain S. Niekum 76 20 0 12 Feb 2018
Interactive Robot Transition Repair With SMT Jarrett Holtz Arjun Guha Joydeep Biswas 52 20 0 05 Feb 2018
Riemannian Motion Policies Nathan D. Ratliff J. Issac Daniel Kappler Stan Birchfield Dieter Fox 109 147 0 09 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 319 8,432 0 04 Jan 2018
Stochastic Variational Video Prediction Mohammad Babaeizadeh Chelsea Finn D. Erhan R. Campbell Sergey Levine DRL VGen 99 543 0 30 Oct 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 136 757 0 30 Oct 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 122 1,368 0 18 Oct 2017
Hybrid DDP in Clutter (CHDDP): Trajectory Optimization for Hybrid Dynamical System in Cluttered Environments Shushman Choudhury Yifan Hou Gilwoo Lee S. Srinivasa 13 2 0 14 Oct 2017
Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation Tianhao Zhang Zoe McCarthy Owen Jow Dennis Lee Xi Chen Ken Goldberg Pieter Abbeel SSL 113 662 0 12 Oct 2017
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks Danfei Xu Suraj Nair Yuke Zhu J. Gao Animesh Garg Li Fei-Fei Silvio Savarese 82 198 0 04 Oct 2017
Unsupervised Learning for Nonlinear PieceWise Smooth Hybrid Systems Gilwoo Lee Zita Marinho Aaron M. Johnson Geoffrey J. Gordon S. Srinivasa M. T. Mason 390 12 0 02 Oct 2017
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping Konstantinos Bousmalis A. Irpan Paul Wohlhart Yunfei Bai Matthew Kelcey ... Julian Ibarz P. Pastor K. Konolige Sergey Levine Vincent Vanhoucke OOD 107 656 0 22 Sep 2017
Learning Robotic Manipulation of Granular Media Connor Schenck Jonathan Tompson Dieter Fox Sergey Levine 67 54 0 08 Sep 2017
Safe Reinforcement Learning via Shielding Mohammed Alshiekh Roderick Bloem Rüdiger Ehlers Bettina Könighofer S. Niekum Ufuk Topcu 87 693 0 29 Aug 2017
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation Yuhuai Wu Elman Mansimov Shun Liao Roger C. Grosse Jimmy Ba OffRL 98 630 0 17 Aug 2017
Deep Object-Centric Representations for Generalizable Robot Learning Coline Devin Pieter Abbeel Trevor Darrell Sergey Levine SSL OCL 102 108 0 14 Aug 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning I. Higgins Arka Pal Andrei A. Rusu Loic Matthey Christopher P. Burgess Alexander Pritzel M. Botvinick Charles Blundell Alexander Lerchner DRL 129 417 0 26 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 589 19,315 0 20 Jul 2017
Reverse Curriculum Generation for Reinforcement Learning Carlos Florensa David Held Markus Wulfmeier Michael Zhang Pieter Abbeel 109 445 0 17 Jul 2017
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation YuXuan Liu Abhishek Gupta Pieter Abbeel Sergey Levine 127 380 0 11 Jul 2017
End-to-End Learning of Semantic Grasping Eric Jang Sudheendra Vijayanarasimhan P. Pastor Julian Ibarz Sergey Levine 85 86 0 06 Jul 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 293 2,339 0 05 Jul 2017
Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning P. Jund Andreas Eitel N. Abdo Wolfram Burgard 3DPC 91 19 0 04 Jul 2017
Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning Daniel S. Brown S. Niekum BDL OffRL 90 42 0 03 Jul 2017
Grasp Pose Detection in Point Clouds A. T. Pas Marcus Gualtieri Kate Saenko Robert Platt 3DPC 127 564 0 29 Jun 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Ken Kansky Tom Silver David A. Mély Mohamed Eldawy Miguel Lazaro-Gredilla Xinghua Lou N. Dorfman Szymon Sidor Scott Phoenix Dileep George AI4CE 105 236 0 14 Jun 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets Karol Hausman Yevgen Chebotar S. Schaal Gaurav Sukhatme Joseph J. Lim GAN 91 150 0 30 May 2017
Learning to Represent Haptic Feedback for Partially-Observable Tasks Jaeyong Sung J. Kenneth Salisbury Ashutosh Saxena SSL 67 32 0 17 May 2017
Time-Contrastive Networks: Self-Supervised Learning from Video P. Sermanet Corey Lynch Yevgen Chebotar Jasmine Hsu Eric Jang S. Schaal Sergey Levine SSL 118 830 0 23 Apr 2017
Environment-Independent Task Specifications via GLTL Michael L. Littman Ufuk Topcu Jie Fu Charles Isbell Min Wen J. MacGlashan 77 146 0 14 Apr 2017
A probabilistic data-driven model for planar pushing Maria Bauzá Alberto Rodriguez 98 104 0 10 Apr 2017