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Residual Model Learning for Microrobot Control

1 April 2021

Tao Chen

Papers citing "Residual Model Learning for Microrobot Control"

29 / 29 papers shown

Title
Long-Horizon Prediction and Uncertainty Propagation with Residual Point Contact Learners Nima Fazeli Anurag Ajay Alberto Rodriguez 36 7 0 08 Sep 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 79 170 0 20 Feb 2020
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning R. Li Allan Jabri Trevor Darrell Pulkit Agrawal OffRL 56 111 0 23 Dec 2019
Combining Physical Simulators and Object-Based Networks for Control Anurag Ajay Maria Bauzá Jiajun Wu Nima Fazeli J. Tenenbaum Alberto Rodriguez L. Kaelbling AI4CE 64 45 0 13 Apr 2019
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics Andy Zeng Shuran Song Johnny Lee Alberto Rodriguez Thomas Funkhouser 102 383 0 27 Mar 2019
Contact-Implicit Optimization of Locomotion Trajectories for a Quadrupedal Microrobot Neel Doshi Kaushik Jayaram Ben Goldberg Zachary Manchester Robert J. Wood S. Kuindersma 37 21 0 25 Jan 2019
Learning agile and dynamic motor skills for legged robots Jemin Hwangbo Joonho Lee Alexey Dosovitskiy Dario Bellicoso Vassilios Tsounis V. Koltun Marco Hutter 108 1,310 0 24 Jan 2019
Residual Policy Learning Tom Silver Kelsey R. Allen J. Tenenbaum L. Kaelbling OffRL 70 179 0 15 Dec 2018
Residual Reinforcement Learning for Robot Control T. Johannink Shikhar Bahl Ashvin Nair Jianlan Luo Avinash Kumar M. Loskyll J. A. Ojea Eugen Solowjow Sergey Levine OffRL 79 417 0 07 Dec 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning Tao Chen Adithyavairavan Murali Abhinav Gupta 62 102 0 24 Nov 2018
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience Yevgen Chebotar Ankur Handa Viktor Makoviychuk Miles Macklin J. Issac Nathan D. Ratliff Dieter Fox 87 505 0 12 Oct 2018
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects Jonathan Tremblay Thang To Balakumar Sundaralingam Yu Xiang Dieter Fox Stan Birchfield 84 657 0 27 Sep 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 226 1,281 0 30 May 2018
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots Jie Tan Tingnan Zhang Erwin Coumans Atil Iscen Yunfei Bai Danijar Hafner Steven Bohez Vincent Vanhoucke 91 804 0 27 Apr 2018
Driving Policy Transfer via Modularity and Abstraction Matthias Muller Alexey Dosovitskiy Guohao Li V. Koltun 73 224 0 25 Apr 2018
Learning Flexible and Reusable Locomotion Primitives for a Microrobot Brian Yang Grant Wang Roberto Calandra D. Contreras Sergey Levine K. Pister 69 26 0 01 Mar 2018
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 110 1,367 0 18 Oct 2017
Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact Nima Fazeli Samuel Zapolsky Evan Drumwright Alberto Rodriguez PINN 76 30 0 16 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 82 655 0 22 Sep 2017
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 91 974 0 08 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 517 19,065 0 20 Jul 2017
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James Andrew J. Davison Edward Johns 201 276 0 07 Jul 2017
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics Jeffrey Mahler Jacky Liang Sherdil Niyaz Michael Laskey R. Doan Xinyu Liu J. A. Ojea Ken Goldberg 3DPC 3DV 100 1,267 0 27 Mar 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 257 2,966 0 20 Mar 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification Wenhao Yu Jie Tan Chenxi Liu Greg Turk OffRL 84 308 0 08 Feb 2017
Learning and Transfer of Modulated Locomotor Controllers N. Heess Greg Wayne Yuval Tassa Timothy Lillicrap Martin Riedmiller David Silver 67 208 0 17 Oct 2016
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model Paul Christiano Zain Shah Igor Mordatch Jonas Schneider T. Blackwell Joshua Tobin Pieter Abbeel Wojciech Zaremba PINN 64 250 0 11 Oct 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 234 2,389 0 21 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014